We are assessing the comparability of cows across all provided data-sets for inclusion in a compiled data-set. A data-set of all cows in all datasets will be used to draw random samplings of cows that represent pens on a dairy. These simulated pens will be used to fit the distribution of Dry Matter Intake (DMI) and other group level parameters will train a model that predict this distribution function. Before we can combine these data-sets together it is important to validate that the cows across the different data-sets are comparable metabolically, so that the assessment of DMI and the plotting of DMI distribution across the constructed pen groups is appropriate.
ANOVA compares two or more groups for a difference in group means. This is performed by comparing the variance between groups against the variance within each group. If the variance between groups is significantly larger than the variance within each group then the groups are considered significantly different.
The means of the values for milk production (kg), DMI (kg) and feed efficiency (fat corrected milk(FCM) (kg)/DMI (kg)) by data-set will be compared using ANOVA statistical analysis. Pairwise comparison of the group means, and visual assessment of the marginal values of each of these three outcomes will be used to assess the comparability of the data-sets and guide decision criteria for inclusion in a collated data-set.
Table 1.
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Total |
Number of Cows | 55 | 74 | 37 | 45 | 40 | 31 | 51 | 36 | 57 | 426 |
This plot demonstrates how milk production (kg) changes by week
across the lactation for all cows in each data-set. Figure 1.
This plot demonstrates how DMI (kg) changes by week across the
lactation for all cows in each data-set. Figure 2.
This plot demonstrates how Feed Efficiency (kg fat corrected milk/kg
DMI)) changes by week across the lactation for all cows in each
data-set. Figure 3.
Figure-set 4.
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 27.15229 | 24.67921 | 32.94156 | 26.98902 | 25.16452 | 18.08291 | 30.66473 | ||
Median | 26.95714 | 23.58705 | 33.65690 | 25.53751 | 25.60000 | 18.00000 | 30.26542 | ||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 9.485714 | 11.075327 | 17.100608 | Inf | 18.824277 | 14.300000 | 4.700000 | Inf | 17.642045 |
Maximum | 40.14286 | 44.84131 | 44.77003 | -Inf | 41.50413 | 37.50000 | 32.42857 | -Inf | 38.74026 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 31.77587 | 33.19927 | 37.02455 | 39.09553 | 33.97097 | 22.75910 | 39.70207 | ||
Median | 32.05714 | 33.97118 | 38.10215 | 38.41967 | 34.50000 | 22.10000 | 39.65584 | ||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 15.22857 | 19.60187 | 21.40978 | Inf | 28.25909 | 22.10000 | 12.00000 | Inf | 21.26623 |
Maximum | 49.80000 | 52.90885 | 49.53280 | -Inf | 50.25855 | 41.90000 | 36.70000 | -Inf | 49.14286 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 33.35901 | 35.87072 | 38.30198 | 40.35959 | 43.64511 | 37.37419 | 25.82773 | 32.26436 | 43.40877 |
Median | 34.48571 | 36.12576 | 40.82373 | 40.72380 | 42.79688 | 38.50000 | 26.28571 | 27.70117 | 44.33766 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 18.50000 | 20.67106 | 12.88216 | 21.52414 | 34.01978 | 19.60000 | 16.28571 | 24.83444 | 20.95455 |
Maximum | 46.04286 | 54.26964 | 50.34927 | 53.68096 | 56.69963 | 48.90000 | 34.70000 | 44.25746 | 53.94156 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 35.35579 | 37.59820 | 40.73179 | 43.20264 | 45.42888 | 39.66129 | 27.51148 | 34.28243 | 45.72761 |
Median | 35.97143 | 38.89594 | 41.27733 | 42.22654 | 43.63603 | 40.90000 | 28.14286 | 33.08083 | 45.94156 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 20.34286 | 25.75783 | 24.17672 | 29.86866 | 36.92280 | 24.00000 | 18.28571 | 16.36124 | 31.83117 |
Maximum | 51.45714 | 53.68645 | 52.79869 | 58.24366 | 59.82945 | 51.00000 | 37.60000 | 54.59494 | 54.24026 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 35.92021 | 39.02292 | 42.45178 | 43.91895 | 46.15463 | 39.88387 | 28.21905 | 33.79534 | 46.78380 |
Median | 36.62857 | 40.07854 | 42.86492 | 43.40240 | 45.69990 | 41.70000 | 28.28571 | 31.03964 | 46.72078 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 20.77143 | 26.40583 | 32.20539 | 29.36926 | 37.14960 | 17.70000 | 19.85714 | 15.97115 | 34.74134 |
Maximum | 50.45714 | 55.95443 | 53.84197 | 58.93374 | 60.55520 | 50.90000 | 38.28571 | 53.87825 | 58.94156 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 36.41431 | 39.45397 | 42.02025 | 44.34884 | 46.32473 | 41.59355 | 28.47059 | 34.69434 | 47.86945 |
Median | 36.64286 | 41.01003 | 41.45877 | 44.95054 | 46.60709 | 43.60000 | 29.00000 | 33.01733 | 47.84740 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 22.20000 | 27.31302 | 32.47755 | 29.26484 | 36.65064 | 10.40000 | 20.14286 | 18.18017 | 29.00000 |
Maximum | 50.14286 | 53.39485 | 53.52445 | 58.13924 | 60.01089 | 50.60000 | 38.14286 | 62.69164 | 61.21429 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 35.95644 | 39.31452 | 41.89643 | 44.16542 | 46.11154 | 41.21290 | 28.92997 | 37.04048 | 47.99313 |
Median | 36.62857 | 40.11094 | 44.08963 | 44.65998 | 44.45251 | 42.20000 | 29.00000 | 34.77955 | 48.14286 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 22.50000 | 21.51346 | 26.39935 | 19.70814 | 36.15168 | 16.80000 | 20.42857 | 19.68157 | 34.85714 |
Maximum | 51.74286 | 54.33444 | 51.71006 | 57.01786 | 60.23768 | 49.30000 | 38.14286 | 65.31797 | 61.53680 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 36.06236 | 39.11705 | 42.55518 | 44.40513 | 45.43681 | 41.75000 | 29.35574 | 37.88871 | 47.75042 |
Median | 35.90000 | 40.19194 | 40.91445 | 44.40120 | 44.54323 | 42.00000 | 29.00000 | 35.96344 | 48.56818 |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 23.27143 | 21.05986 | 32.56827 | 26.83140 | 34.74553 | 23.60000 | 21.00000 | 20.05352 | 37.07143 |
Maximum | 53.38571 | 52.84405 | 53.07085 | 57.32204 | 57.42538 | 50.70000 | 38.42857 | 68.68820 | 60.98052 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 35.50553 | 38.62274 | 43.97252 | 45.43795 | 41.75333 | 29.30321 | 38.23848 | 47.07787 | |
Median | 35.24286 | 39.39814 | 44.26046 | 44.81539 | 41.85000 | 29.28571 | 37.48753 | 46.89610 | |
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 22.92857 | 22.22625 | Inf | 27.93462 | 34.88161 | 26.50000 | 18.71429 | 20.54341 | 35.65584 |
Maximum | 53.52857 | 52.35806 | -Inf | 57.58082 | 57.65218 | 50.70000 | 38.00000 | 63.59884 | 57.23506 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 35.30319 | 38.35588 | 43.73190 | 44.44570 | 42.15667 | 29.43789 | 38.16389 | ||
Median | 35.50000 | 39.15514 | 44.15604 | 43.84015 | 42.20000 | 29.85714 | 36.56219 | ||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 19.74286 | 26.11423 | Inf | 27.99364 | 33.92906 | 27.20000 | 19.42857 | 20.57516 | Inf |
Maximum | 51.14286 | 51.12686 | -Inf | 59.03816 | 58.96761 | 53.20000 | 38.14286 | 66.25692 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 34.99919 | 37.62360 | 42.34872 | 43.12574 | 29.59801 | 38.69447 | |||
Median | 34.41429 | 38.19935 | 41.40480 | 42.29792 | 29.85714 | 38.37658 | |||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 21.25714 | 26.24383 | Inf | 28.27966 | 32.34147 | Inf | 19.57143 | 19.92652 | Inf |
Maximum | 51.94286 | 53.97805 | -Inf | 57.00878 | 54.47700 | -Inf | 39.00000 | 65.90311 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 34.60917 | 37.19426 | 42.51044 | 42.40565 | 29.18315 | 38.75785 | |||
Median | 33.81429 | 37.56755 | 42.18114 | 42.59276 | 29.57143 | 37.68030 | |||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 21.28571 | 24.88304 | Inf | 29.13318 | 33.33938 | Inf | 17.28571 | 20.70217 | Inf |
Maximum | 50.80000 | 51.87206 | -Inf | 54.77056 | 53.43373 | -Inf | 39.71429 | 59.71151 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 33.43395 | 36.81141 | 41.60496 | 41.13218 | 29.30502 | 38.42320 | |||
Median | 32.72857 | 36.12576 | 42.61244 | 41.36805 | 29.14286 | 37.21083 | |||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 19.28571 | 23.74904 | Inf | 29.27846 | 30.88996 | Inf | 20.85714 | 14.54686 | Inf |
Maximum | 50.24286 | 49.66887 | -Inf | 57.76242 | 54.34092 | -Inf | 38.42857 | 59.81130 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 33.26621 | 36.40795 | 41.12786 | 40.12292 | 29.41699 | 39.07738 | |||
Median | 32.35714 | 35.86656 | 41.40480 | 39.34954 | 29.28571 | 38.36070 | |||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 19.12857 | 24.33224 | Inf | 27.90284 | 28.34981 | Inf | 20.42857 | 19.24612 | Inf |
Maximum | 50.65714 | 49.40968 | -Inf | 57.69886 | 55.97387 | -Inf | 37.28571 | 61.78445 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 33.04081 | 35.67151 | 40.40822 | 38.96739 | 38.22840 | ||||
Median | 32.58571 | 35.21857 | 39.97924 | 39.19078 | 36.49642 | ||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 19.81429 | 23.78144 | Inf | 28.57476 | 28.25909 | Inf | Inf | 18.59748 | Inf |
Maximum | 47.40000 | 47.27129 | -Inf | 55.87378 | 52.20902 | -Inf | -Inf | 61.75270 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 32.50803 | 35.16647 | 39.92133 | 38.89368 | 37.98951 | ||||
Median | 31.74286 | 34.74877 | 40.51496 | 38.69183 | 36.56219 | ||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 16.18571 | 22.11285 | Inf | 26.87680 | 28.62197 | Inf | Inf | 18.76077 | Inf |
Maximum | 46.30000 | 45.52170 | -Inf | 49.09102 | 52.66261 | -Inf | -Inf | 62.43309 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 32.01584 | 34.76585 | 39.36008 | 37.57031 | 36.99235 | ||||
Median | 31.62857 | 34.47337 | 39.11664 | 36.78672 | 37.06568 | ||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 19.65714 | 22.71225 | Inf | 27.54418 | 27.71478 | Inf | Inf | 18.17563 | Inf |
Maximum | 46.94286 | 45.10050 | -Inf | 51.89674 | 49.71423 | -Inf | -Inf | 62.59639 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 31.41200 | 33.89784 | 38.38671 | 36.19931 | 36.71540 | ||||
Median | 31.21429 | 33.20978 | 38.10876 | 36.60528 | 35.73664 | ||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 18.55714 | 22.55025 | Inf | 25.72818 | 22.95201 | Inf | Inf | 17.72204 | Inf |
Maximum | 45.18571 | 44.91421 | -Inf | 54.03962 | 48.08128 | -Inf | -Inf | 62.17454 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 30.83514 | 33.26626 | 35.00295 | 33.68374 | |||||
Median | 30.68571 | 32.85338 | 35.44861 | 33.12846 | |||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 17.071429 | 22.453053 | Inf | Inf | 22.180894 | Inf | Inf | 7.860836 | Inf |
Maximum | 46.27143 | 45.13290 | -Inf | -Inf | 45.72258 | -Inf | -Inf | 58.38247 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 29.96229 | 32.66730 | 33.34278 | 32.71254 | |||||
Median | 29.51429 | 32.59419 | 33.33938 | 33.17835 | |||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 17.814286 | 22.355853 | Inf | Inf | 18.143881 | Inf | Inf | 8.455049 | Inf |
Maximum | 47.58571 | 45.29490 | -Inf | -Inf | 45.49578 | -Inf | -Inf | 58.86782 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 29.67213 | 32.10140 | 32.50930 | 32.50023 | |||||
Median | 29.55714 | 31.54119 | 32.31879 | 32.82001 | |||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 17.61429 | 23.03625 | Inf | Inf | 12.02032 | Inf | Inf | 11.11313 | Inf |
Maximum | 44.01429 | 44.35531 | -Inf | -Inf | 44.27107 | -Inf | -Inf | 57.60682 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 28.99317 | 31.61453 | 33.43827 | ||||||
Median | 27.85714 | 31.21720 | 33.62968 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 16.64286 | 22.12905 | Inf | Inf | Inf | Inf | Inf | 14.22480 | Inf |
Maximum | 44.61429 | 43.57771 | -Inf | -Inf | -Inf | -Inf | -Inf | 58.90411 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 27.77449 | 31.02192 | 32.77871 | ||||||
Median | 27.34286 | 30.76360 | 32.46394 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 15.628571 | 21.675458 | Inf | Inf | Inf | Inf | Inf | 8.749887 | Inf |
Maximum | 44.05714 | 42.47612 | -Inf | -Inf | -Inf | -Inf | -Inf | 58.31897 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 27.28364 | 30.47309 | 32.90517 | ||||||
Median | 26.87143 | 30.24520 | 33.11258 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 15.57143 | 20.86546 | Inf | Inf | Inf | Inf | Inf | 13.51266 | Inf |
Maximum | 43.15714 | 41.43933 | -Inf | -Inf | -Inf | -Inf | -Inf | 58.83607 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 27.07977 | 29.61757 | 31.77914 | ||||||
Median | 25.98571 | 30.03460 | 30.45450 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 13.48571 | 18.79188 | Inf | Inf | Inf | Inf | Inf | 14.09326 | Inf |
Maximum | 43.47143 | 41.73093 | -Inf | -Inf | -Inf | -Inf | -Inf | 53.58795 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 26.39088 | 29.37413 | 32.24662 | ||||||
Median | 26.17143 | 29.40281 | 31.03964 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 13.72857 | 19.08347 | Inf | Inf | Inf | Inf | Inf | 13.12256 | Inf |
Maximum | 42.68571 | 41.66613 | -Inf | -Inf | -Inf | -Inf | -Inf | 53.81475 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 26.05655 | 28.84763 | 31.38836 | ||||||
Median | 25.04286 | 28.47941 | 31.16665 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 14.20000 | 19.31027 | Inf | Inf | Inf | Inf | Inf | 13.80296 | Inf |
Maximum | 42.82857 | 40.40253 | -Inf | -Inf | -Inf | -Inf | -Inf | 47.72294 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 25.07662 | 28.34325 | 30.12709 | ||||||
Median | 23.68571 | 28.23641 | 31.65654 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 12.742857 | 17.398686 | Inf | Inf | Inf | Inf | Inf | 9.008437 | Inf |
Maximum | 41.55714 | 38.62055 | -Inf | -Inf | -Inf | -Inf | -Inf | 50.38102 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 24.16732 | 27.78544 | 30.56062 | ||||||
Median | 23.30000 | 27.86382 | 30.61780 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 12.91429 | 15.16310 | Inf | Inf | Inf | Inf | Inf | 12.53742 | Inf |
Maximum | 39.91429 | 38.71775 | -Inf | -Inf | -Inf | -Inf | -Inf | 46.84750 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 23.65740 | 26.56301 | 28.88506 | ||||||
Median | 24.10000 | 27.39402 | 29.35226 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 10.45714 | 11.21033 | Inf | Inf | Inf | Inf | Inf | 11.30817 | Inf |
Maximum | 37.71429 | 34.95937 | -Inf | -Inf | -Inf | -Inf | -Inf | 48.08128 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 22.91034 | 26.08708 | 27.46228 | ||||||
Median | 22.90000 | 26.72982 | 26.98902 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 8.657143 | 9.719936 | Inf | Inf | Inf | Inf | Inf | 7.030754 | Inf |
Maximum | 37.28571 | 35.15377 | -Inf | -Inf | -Inf | -Inf | -Inf | 49.73238 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.95140 | 25.53256 | 27.72426 | ||||||
Median | 20.80000 | 26.24383 | 27.50612 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 8.428571 | 9.185340 | Inf | Inf | Inf | Inf | Inf | 10.564275 | Inf |
Maximum | 37.21429 | 35.18617 | -Inf | -Inf | -Inf | -Inf | -Inf | 43.22326 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.93447 | 25.24343 | 27.33046 | ||||||
Median | 20.11429 | 25.46623 | 27.18407 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 0.00000 | 10.56233 | Inf | Inf | Inf | Inf | Inf | 10.98158 | Inf |
Maximum | 36.94286 | 34.34377 | -Inf | -Inf | -Inf | -Inf | -Inf | 47.17409 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.59382 | 24.53877 | 26.47797 | ||||||
Median | 20.20000 | 25.66063 | 25.72349 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 0.00000 | 9.10434 | Inf | Inf | Inf | Inf | Inf | 11.82527 | Inf |
Maximum | 35.20000 | 33.95498 | -Inf | -Inf | -Inf | -Inf | -Inf | 47.75469 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.14926 | 23.54516 | 26.45639 | ||||||
Median | 19.57857 | 24.10969 | 27.27933 | ||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 4.585714 | 0.000000 | Inf | Inf | Inf | Inf | Inf | 6.577157 | Inf |
Maximum | 36.85714 | 33.43658 | -Inf | -Inf | -Inf | -Inf | -Inf | 45.48671 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.23186 | 25.67057 | |||||||
Median | 18.27143 | 26.11358 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 5.000000 | Inf | Inf | Inf | Inf | Inf | Inf | 8.781638 | Inf |
Maximum | 35.62857 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 43.54531 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.18714 | 25.10577 | |||||||
Median | 17.07857 | 27.37912 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 3.828571 | Inf | Inf | Inf | Inf | Inf | Inf | 9.167196 | Inf |
Maximum | 31.91429 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 43.38202 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.21507 | 23.91193 | |||||||
Median | 16.17143 | 24.20394 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 4.457143 | Inf | Inf | Inf | Inf | Inf | Inf | 8.749887 | Inf |
Maximum | 32.81429 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 45.19641 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 16.50177 | 23.94043 | |||||||
Median | 17.29286 | 23.27860 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 2.40000 | Inf | Inf | Inf | Inf | Inf | Inf | 10.20593 | Inf |
Maximum | 31.48571 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 43.64057 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.16351 | 24.00124 | |||||||
Median | 17.40000 | 24.52599 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 4.257143 | Inf | Inf | Inf | Inf | Inf | Inf | 8.749887 | Inf |
Maximum | 30.60000 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 43.22326 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 16.90757 | 23.15514 | |||||||
Median | 18.08571 | 24.85031 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 2.285714 | Inf | Inf | Inf | Inf | Inf | Inf | 6.708700 | Inf |
Maximum | 31.47143 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 42.18452 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 16.81693 | 22.53880 | |||||||
Median | 16.54286 | 22.71160 | |||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 6.500000 | Inf | Inf | Inf | Inf | Inf | Inf | 6.608909 | Inf |
Maximum | 28.21429 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 38.32895 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 15.75055 | ||||||||
Median | 16.30714 | ||||||||
Standard Deviation | 6.750860 | 7.486358 | 7.407819 | 4.916402 | 5.058099 | 5.717061 | 4.774092 | ||
Minimum | 4.8 | Inf | Inf | Inf | Inf | Inf | Inf | Inf | Inf |
Maximum | 26.18571 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf |
Figure-set 5.
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 14.791091 | 15.229730 | 11.997152 | 15.909545 | 12.526963 | 9.390652 | 14.366598 | ||
Median | 14.21429 | 15.25000 | 11.56516 | 15.96915 | 12.34591 | 9.34000 | 14.77532 | ||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 5.328571 | 4.300000 | 5.194571 | Inf | 7.981800 | 8.954773 | 3.640000 | Inf | 4.442106 |
Maximum | 24.00000 | 22.60000 | 18.61996 | -Inf | 21.72500 | 17.70326 | 16.28445 | -Inf | 20.94518 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 16.292935 | 16.458108 | 15.139646 | 18.884825 | 16.247153 | 9.780882 | 17.108030 | ||
Median | 16.014286 | 15.750000 | 16.088416 | 19.049950 | 15.773114 | 9.695566 | 18.026812 | ||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 5.914286 | 8.300000 | 4.573987 | Inf | 12.991300 | 9.539006 | 3.642793 | Inf | 5.901558 |
Maximum | 25.57143 | 24.40000 | 20.57865 | -Inf | 24.90650 | 22.75838 | 16.28445 | -Inf | 23.09560 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.29268 | 17.78784 | 17.51642 | 21.76422 | 20.32272 | 17.91702 | 11.42570 | 14.42741 | 18.94112 |
Median | 17.64286 | 17.55000 | 17.88587 | 22.21000 | 20.39905 | 17.47040 | 11.20607 | 11.65291 | 19.56375 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 9.728571 | 10.300000 | 5.327883 | 13.760000 | 14.268000 | 9.576429 | 7.416377 | 10.591491 | 9.108662 |
Maximum | 28.32857 | 26.80000 | 23.21029 | 27.93000 | 25.08320 | 26.06679 | 16.28445 | 21.03783 | 24.21403 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.05317 | 18.97297 | 19.37957 | 23.94244 | 21.44366 | 19.17360 | 12.80813 | 16.27420 | 20.43093 |
Median | 18.80000 | 19.00000 | 20.23952 | 23.87000 | 21.55715 | 19.95256 | 12.80539 | 16.70598 | 20.50905 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.014286 | 12.100000 | 9.877766 | 17.450000 | 15.048300 | 10.618419 | 7.378857 | 3.510841 | 11.796318 |
Maximum | 26.00000 | 26.90000 | 26.07143 | 29.02000 | 26.99260 | 28.76374 | 16.60190 | 22.45759 | 26.66154 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.49504 | 19.92973 | 20.51103 | 24.27156 | 22.19710 | 21.11610 | 13.67003 | 17.71804 | 21.26307 |
Median | 18.80000 | 19.25000 | 21.57132 | 24.39000 | 21.92475 | 20.81933 | 13.60233 | 17.27297 | 21.92375 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 8.671429 | 12.100000 | 6.478939 | 17.690000 | 16.363200 | 12.707640 | 9.280777 | 9.974599 | 13.924273 |
Maximum | 25.64286 | 30.50000 | 28.24860 | 28.74000 | 29.36700 | 31.15020 | 17.34287 | 26.75769 | 26.13361 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.19114 | 20.76622 | 21.99977 | 25.21556 | 22.88906 | 22.43430 | 14.23553 | 18.76920 | 21.94447 |
Median | 19.50000 | 20.30000 | 21.99288 | 25.10000 | 23.19285 | 22.96533 | 14.66496 | 18.70634 | 21.79351 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 9.628571 | 12.600000 | 14.337922 | 18.750000 | 16.670400 | 12.694796 | 9.847332 | 6.141704 | 14.056643 |
Maximum | 26.57143 | 31.00000 | 28.61985 | 30.20000 | 33.69740 | 30.19578 | 17.50582 | 28.78980 | 28.91049 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.50000 | 21.28243 | 22.57308 | 25.56067 | 22.98870 | 23.14910 | 14.71430 | 19.70325 | 23.00060 |
Median | 20.17143 | 20.85000 | 22.99948 | 25.68000 | 23.34845 | 23.64892 | 14.92921 | 20.62506 | 23.04035 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 10.171429 | 10.300000 | 15.254104 | 18.150000 | 15.288600 | 11.543821 | 8.724836 | 11.720947 | 15.547968 |
Maximum | 26.88571 | 31.40000 | 28.75996 | 30.17000 | 27.80180 | 30.08219 | 18.63305 | 29.42484 | 34.39329 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.38008 | 21.66081 | 23.50355 | 26.09289 | 23.43957 | 25.05453 | 15.14240 | 20.58763 | 23.08430 |
Median | 20.37143 | 21.00000 | 23.95452 | 26.76000 | 23.26305 | 25.91315 | 14.97247 | 20.84959 | 22.69478 |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.57143 | 11.50000 | 17.63527 | 18.47000 | 18.82500 | 19.09242 | 10.52553 | 12.86401 | 17.44276 |
Maximum | 27.70000 | 31.50000 | 29.48062 | 29.61000 | 29.59360 | 29.52944 | 18.97727 | 29.89204 | 28.53154 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.41457 | 22.19865 | 26.29711 | 23.86987 | 24.77096 | 15.73235 | 20.77714 | 23.47083 | |
Median | 20.51429 | 21.75000 | 26.54000 | 23.97440 | 24.39876 | 15.72008 | 20.77474 | 23.43815 | |
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.52857 | 13.60000 | Inf | 19.76000 | 18.60170 | 19.99080 | 11.02434 | 12.43309 | 17.69039 |
Maximum | 28.32857 | 31.40000 | -Inf | 30.96000 | 28.78440 | 31.24872 | 21.52311 | 30.54069 | 31.08247 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.98255 | 22.58514 | 26.60644 | 24.46686 | 25.10137 | 15.79110 | 20.86572 | ||
Median | 21.31429 | 22.30000 | 26.79000 | 24.52240 | 26.31691 | 15.41897 | 20.54568 | ||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 13.54286 | 16.00000 | Inf | 19.49000 | 18.23100 | 15.73579 | 8.15943 | 13.58977 | Inf |
Maximum | 30.30000 | 32.40000 | -Inf | 30.78000 | 32.11280 | 30.82370 | 20.61453 | 28.45414 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.55119 | 22.70000 | 26.52644 | 24.24735 | 16.05318 | 21.49647 | |||
Median | 21.52857 | 22.60000 | 26.82000 | 24.37465 | 15.64398 | 21.15803 | |||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 13.58571 | 14.80000 | Inf | 20.24000 | 17.14240 | Inf | 11.21233 | 11.16756 | Inf |
Maximum | 29.51429 | 30.90000 | -Inf | 31.04000 | 29.94040 | -Inf | 20.40869 | 32.42312 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.67875 | 22.89189 | 26.37711 | 24.38626 | 16.24894 | 22.29114 | |||
Median | 21.34286 | 22.75000 | 26.69000 | 24.71110 | 15.98111 | 21.69328 | |||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.00000 | 14.70000 | Inf | 20.13000 | 18.34490 | Inf | 13.17664 | 14.46521 | Inf |
Maximum | 29.97143 | 33.30000 | -Inf | 30.08000 | 30.98880 | -Inf | 21.70761 | 30.72666 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.21356 | 23.03378 | 26.27622 | 24.14929 | 16.63267 | 22.25838 | |||
Median | 20.90000 | 23.30000 | 26.81000 | 24.01750 | 16.27734 | 22.02667 | |||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.60000 | 14.80000 | Inf | 20.89000 | 17.44200 | Inf | 13.05716 | 10.97705 | Inf |
Maximum | 31.04286 | 32.90000 | -Inf | 30.65000 | 30.33400 | -Inf | 21.89086 | 32.82228 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.46519 | 23.27973 | 26.49467 | 24.87301 | 16.71636 | 23.11367 | |||
Median | 21.10000 | 23.00000 | 26.73000 | 24.96815 | 16.28844 | 22.44171 | |||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.57143 | 14.20000 | Inf | 19.53000 | 19.14880 | Inf | 12.83411 | 14.62850 | Inf |
Maximum | 31.04286 | 33.80000 | -Inf | 31.65000 | 33.40350 | -Inf | 21.80040 | 34.11503 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.33668 | 23.08514 | 26.32267 | 24.73147 | 22.62151 | ||||
Median | 21.24286 | 22.80000 | 26.14000 | 24.53190 | 22.38275 | ||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 13.25714 | 15.30000 | Inf | 20.50000 | 17.36000 | Inf | Inf | 14.02068 | Inf |
Maximum | 29.51429 | 33.50000 | -Inf | 30.28000 | 31.35600 | -Inf | -Inf | 32.01034 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.58291 | 23.27703 | 26.46444 | 24.27433 | 22.52008 | ||||
Median | 21.52857 | 22.75000 | 26.50000 | 24.13700 | 22.43944 | ||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 10.95714 | 16.00000 | Inf | 19.40000 | 19.66060 | Inf | Inf | 14.78726 | Inf |
Maximum | 27.27143 | 33.10000 | -Inf | 32.06000 | 29.84040 | -Inf | -Inf | 33.47546 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.55119 | 22.98378 | 25.84689 | 24.63621 | 21.89059 | ||||
Median | 21.77143 | 22.55000 | 26.07000 | 24.98855 | 21.53452 | ||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.80000 | 14.90000 | Inf | 20.49000 | 18.52770 | Inf | Inf | 13.04545 | Inf |
Maximum | 27.28571 | 32.70000 | -Inf | 29.92000 | 29.65140 | -Inf | -Inf | 32.79053 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.68319 | 22.96892 | 25.89044 | 24.12930 | 21.99290 | ||||
Median | 21.65714 | 22.70000 | 26.34000 | 24.52920 | 22.01533 | ||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 8.80000 | 16.00000 | Inf | 19.07000 | 17.97800 | Inf | Inf | 8.85875 | Inf |
Maximum | 30.21429 | 32.50000 | -Inf | 31.40000 | 32.35050 | -Inf | -Inf | 33.63422 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.40907 | 23.16216 | 23.46853 | 19.93143 | |||||
Median | 21.75714 | 23.00000 | 24.10750 | 20.83825 | |||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 14.742860 | 16.500000 | Inf | Inf | 12.688800 | Inf | Inf | 7.253016 | Inf |
Maximum | 28.04286 | 32.20000 | -Inf | -Inf | 34.04700 | -Inf | -Inf | 31.08954 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.52122 | 23.09054 | 23.03813 | 20.39738 | |||||
Median | 19.70000 | 22.50000 | 22.94310 | 20.99247 | |||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.142860 | 16.900000 | Inf | Inf | 16.119600 | Inf | Inf | 7.234873 | Inf |
Maximum | 30.52857 | 30.60000 | -Inf | -Inf | 29.44920 | -Inf | -Inf | 30.46358 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.24283 | 22.95676 | 22.39914 | 20.32278 | |||||
Median | 20.55714 | 22.30000 | 22.21080 | 20.86320 | |||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 15.100000 | 16.500000 | Inf | Inf | 11.060800 | Inf | Inf | 9.335027 | Inf |
Maximum | 26.92857 | 31.80000 | -Inf | -Inf | 30.25770 | -Inf | -Inf | 29.38855 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 21.13008 | 22.63784 | 20.63776 | ||||||
Median | 20.84286 | 21.95000 | 20.34383 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 15.757143 | 16.300000 | Inf | Inf | Inf | Inf | Inf | 8.491336 | Inf |
Maximum | 29.15714 | 30.60000 | -Inf | -Inf | -Inf | -Inf | -Inf | 29.36587 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.13535 | 22.79459 | 20.69268 | ||||||
Median | 19.72857 | 22.45000 | 21.13762 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 14.05714 | 16.10000 | Inf | Inf | Inf | Inf | Inf | 7.31652 | Inf |
Maximum | 25.65714 | 30.90000 | -Inf | -Inf | -Inf | -Inf | -Inf | 33.09897 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.58881 | 22.84054 | 20.70368 | ||||||
Median | 19.42857 | 22.40000 | 20.43455 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 14.38571 | 15.70000 | Inf | Inf | Inf | Inf | Inf | 13.12710 | Inf |
Maximum | 27.95714 | 30.60000 | -Inf | -Inf | -Inf | -Inf | -Inf | 34.29647 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 20.40823 | 22.45135 | 20.12170 | ||||||
Median | 20.28571 | 22.15000 | 18.93314 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 14.27143 | 15.50000 | Inf | Inf | Inf | Inf | Inf | 15.70806 | Inf |
Maximum | 29.45714 | 29.80000 | -Inf | -Inf | -Inf | -Inf | -Inf | 29.31144 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.81553 | 22.48649 | 20.59523 | ||||||
Median | 19.14286 | 21.90000 | 20.00816 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 10.91429 | 15.70000 | Inf | Inf | Inf | Inf | Inf | 14.56954 | Inf |
Maximum | 31.11429 | 29.60000 | -Inf | -Inf | -Inf | -Inf | -Inf | 29.60174 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.89823 | 22.16757 | 20.09325 | ||||||
Median | 18.82857 | 21.90000 | 19.90837 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 14.87143 | 16.20000 | Inf | Inf | Inf | Inf | Inf | 14.87798 | Inf |
Maximum | 30.00000 | 29.10000 | -Inf | -Inf | -Inf | -Inf | -Inf | 31.37984 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.88260 | 22.26757 | 19.58632 | ||||||
Median | 20.42857 | 22.00000 | 19.33231 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.414286 | 16.500000 | Inf | Inf | Inf | Inf | Inf | 8.368865 | Inf |
Maximum | 27.60000 | 30.00000 | -Inf | -Inf | -Inf | -Inf | -Inf | 28.42239 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.55421 | 21.96351 | 20.37888 | ||||||
Median | 18.97143 | 21.55000 | 20.08074 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.12857 | 16.30000 | Inf | Inf | Inf | Inf | Inf | 14.82355 | Inf |
Maximum | 26.58571 | 29.00000 | -Inf | -Inf | -Inf | -Inf | -Inf | 29.38855 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.18049 | 21.39865 | 19.23609 | ||||||
Median | 19.35714 | 21.35000 | 18.84242 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.90000 | 15.20000 | Inf | Inf | Inf | Inf | Inf | 12.74608 | Inf |
Maximum | 25.05714 | 28.70000 | -Inf | -Inf | -Inf | -Inf | -Inf | 26.71686 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 19.20512 | 21.28514 | 19.12173 | ||||||
Median | 18.74286 | 21.20000 | 18.37975 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 9.942857 | 16.200000 | Inf | Inf | Inf | Inf | Inf | 11.571260 | Inf |
Maximum | 28.64286 | 28.90000 | -Inf | -Inf | -Inf | -Inf | -Inf | 26.24512 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.59138 | 21.24110 | 19.52749 | ||||||
Median | 18.31429 | 21.10000 | 19.46838 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.17143 | 13.10000 | Inf | Inf | Inf | Inf | Inf | 12.83680 | Inf |
Maximum | 24.78571 | 27.30000 | -Inf | -Inf | -Inf | -Inf | -Inf | 25.19278 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.89088 | 20.97260 | 18.95774 | ||||||
Median | 18.52857 | 20.50000 | 18.85149 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 10.40000 | 12.40000 | Inf | Inf | Inf | Inf | Inf | 12.50113 | Inf |
Maximum | 26.80000 | 26.50000 | -Inf | -Inf | -Inf | -Inf | -Inf | 26.04554 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.73717 | 20.85205 | 18.51102 | ||||||
Median | 18.67143 | 20.70000 | 19.05561 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.828571 | 9.400000 | Inf | Inf | Inf | Inf | Inf | 9.824912 | Inf |
Maximum | 26.07143 | 25.80000 | -Inf | -Inf | -Inf | -Inf | -Inf | 27.36551 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.86772 | 20.55205 | 18.75211 | ||||||
Median | 18.48571 | 20.40000 | 19.60900 | ||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.700000 | 0.000000 | Inf | Inf | Inf | Inf | Inf | 6.345822 | Inf |
Maximum | 26.61429 | 27.10000 | -Inf | -Inf | -Inf | -Inf | -Inf | 23.74580 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.44229 | 18.17178 | |||||||
Median | 17.81429 | 18.33893 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 8.971429 | Inf | Inf | Inf | Inf | Inf | Inf | 10.419124 | Inf |
Maximum | 25.24286 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 23.94539 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.25876 | 17.97303 | |||||||
Median | 17.92857 | 18.55212 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 12.814286 | Inf | Inf | Inf | Inf | Inf | Inf | 8.441441 | Inf |
Maximum | 27.70000 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 25.45587 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.80328 | 17.09012 | |||||||
Median | 17.18571 | 16.97133 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.42857 | Inf | Inf | Inf | Inf | Inf | Inf | 7.90166 | Inf |
Maximum | 25.70000 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 22.70253 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.53334 | 17.57703 | |||||||
Median | 17.81429 | 18.04409 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.000000 | Inf | Inf | Inf | Inf | Inf | Inf | 7.126009 | Inf |
Maximum | 26.84286 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 23.18788 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.38255 | 17.88505 | |||||||
Median | 18.45714 | 18.35027 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.400000 | Inf | Inf | Inf | Inf | Inf | Inf | 7.534247 | Inf |
Maximum | 25.88571 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 24.70289 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.99624 | 17.37503 | |||||||
Median | 18.46429 | 17.75152 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.842857 | Inf | Inf | Inf | Inf | Inf | Inf | 8.641023 | Inf |
Maximum | 21.97143 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 23.74580 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 18.03635 | 17.16616 | |||||||
Median | 18.30000 | 17.63132 | |||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 11.071429 | Inf | Inf | Inf | Inf | Inf | Inf | 8.232786 | Inf |
Maximum | 22.91429 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 21.50957 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 17.16648 | ||||||||
Median | 17.3 | ||||||||
Standard Deviation | 4.047816 | 3.922773 | 3.271945 | 3.005010 | 2.021392 | 3.148013 | 3.271698 | ||
Minimum | 13.3 | Inf | Inf | Inf | Inf | Inf | Inf | Inf | Inf |
Maximum | 20.81429 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf |
Figure-set 6.
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 2.343285 | 1.774389 | 3.927953 | 2.334861 | 2.410439 | 2.403754 | 2.968837 | ||
Median | 2.141615 | 1.832818 | 3.767861 | 1.954128 | 2.419180 | 2.246076 | 2.616838 | ||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.9980759 | 0.3770844 | 1.9002155 | Inf | 1.2600535 | 1.2500663 | 1.9629071 | Inf | 1.0668852 |
Maximum | 4.997850 | 4.164147 | 6.846718 | -Inf | 5.643892 | 3.954720 | 3.045939 | -Inf | 5.952656 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 2.228915 | 2.150588 | 3.215559 | 2.314100 | 2.354705 | 2.812568 | |||
Median | 2.222503 | 2.103688 | 3.141725 | 2.126542 | 2.296828 | 2.623849 | |||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 1.0035971 | 0.7307556 | 1.8782699 | Inf | 1.6771903 | 1.4925460 | Inf | Inf | 1.7607240 |
Maximum | 3.947250 | 3.075035 | 6.661715 | -Inf | 5.860224 | 3.493247 | -Inf | -Inf | 6.207447 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 2.066988 | 2.047920 | 2.615932 | 1.974759 | 2.151096 | 2.203331 | 2.381642 | 2.455020 | |
Median | 2.079739 | 1.996881 | 2.493051 | 1.994946 | 2.042489 | 2.281899 | 2.381642 | 2.338362 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.9351444 | 1.4168104 | 1.8512720 | 1.4201397 | 1.6227557 | 1.2360380 | Inf | 1.8341258 | 1.3822626 |
Maximum | 2.785902 | 2.974942 | 4.122678 | 2.721561 | 2.922103 | 2.858763 | -Inf | 2.929159 | 3.864867 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 2.022940 | 1.958542 | 2.455917 | 1.913239 | 2.057764 | 2.215034 | 2.291785 | 2.245523 | |
Median | 2.070065 | 1.880904 | 2.418318 | 1.858768 | 1.972436 | 2.160735 | 2.047042 | 2.155176 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.9473682 | 1.4934846 | 1.5248890 | 1.3834351 | 1.4149104 | 1.5900683 | Inf | 1.4129276 | 1.5935332 |
Maximum | 2.899790 | 2.744764 | 4.088326 | 3.395975 | 2.804717 | 3.396746 | -Inf | 5.302365 | 3.081630 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.962948 | 1.888262 | 2.478630 | 1.880038 | 1.996907 | 1.926185 | 2.096663 | 2.006194 | 2.218681 |
Median | 1.913536 | 1.845778 | 2.313228 | 1.862721 | 1.943436 | 1.885539 | 2.098751 | 1.851461 | 2.154806 |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.9376913 | 1.3368462 | 1.6942255 | 1.4651040 | 1.3546392 | 0.9634669 | 1.2307819 | 1.3762574 | 1.4497829 |
Maximum | 3.334124 | 2.543625 | 5.910987 | 2.839122 | 3.073756 | 2.492563 | 2.961874 | 3.019919 | 4.247035 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.869603 | 1.839889 | 2.045629 | 1.776051 | 1.901385 | 1.891689 | 1.930484 | 2.079191 | |
Median | 1.865781 | 1.793091 | 1.988867 | 1.754403 | 1.862408 | 1.883663 | 1.817819 | 2.045140 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.9668658 | 1.3039931 | 1.2502246 | 1.2995958 | 1.1978601 | 0.8627435 | Inf | 1.3865401 | 1.4668952 |
Maximum | 3.236417 | 2.366984 | 3.252360 | 2.244093 | 2.644110 | 3.550275 | -Inf | 3.612817 | 3.724914 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.815318 | 1.792246 | 2.030584 | 1.740487 | 1.895529 | 1.806881 | 1.996160 | 1.946719 | |
Median | 1.797804 | 1.774184 | 2.006760 | 1.744801 | 1.807471 | 1.820037 | 1.949908 | 1.877443 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.8606504 | 1.2653295 | 1.3945488 | 1.1529372 | 1.2068334 | 1.2907394 | Inf | 1.3061406 | 1.2665569 |
Maximum | 2.691985 | 2.423581 | 2.927533 | 2.270052 | 2.678475 | 2.482573 | -Inf | 3.446020 | 2.830226 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.712048 | 1.752180 | 2.016256 | 1.740797 | 1.774487 | 1.678937 | 1.824929 | 1.910786 | |
Median | 1.743768 | 1.702234 | 2.010882 | 1.712021 | 1.780321 | 1.701755 | 1.789676 | 1.864872 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.8629888 | 1.3756046 | 1.2249330 | 1.2673832 | 1.3323348 | 1.1727496 | Inf | 1.2513035 | 1.0776044 |
Maximum | 2.287211 | 2.418213 | 3.226225 | 2.272838 | 2.347464 | 2.316375 | -Inf | 2.421643 | 2.787652 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.709391 | 1.686991 | 1.690214 | 1.730459 | 1.672522 | 1.971884 | 1.872448 | 1.891344 | |
Median | 1.685036 | 1.658227 | 1.713603 | 1.711175 | 1.687961 | 1.835305 | 1.825473 | 1.868019 | |
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.8569839 | 1.2518735 | Inf | 1.3675478 | 1.2036244 | 1.1860742 | 1.2333591 | 1.2758775 | 1.5137542 |
Maximum | 2.703300 | 2.717645 | -Inf | 2.154977 | 2.426443 | 2.144594 | 2.614301 | 3.489974 | 2.566040 |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.624143 | 1.636728 | 1.706783 | 1.673265 | 1.682107 | 1.910583 | |||
Median | 1.605703 | 1.623482 | 1.697635 | 1.666330 | 1.651035 | 1.938258 | |||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.8245895 | 1.1979955 | Inf | 1.1959457 | 1.1642483 | 1.2091058 | Inf | 1.2084598 | Inf |
Maximum | 2.278569 | 2.089129 | -Inf | 2.366093 | 2.087232 | 2.319039 | -Inf | 2.658801 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.570562 | 1.600750 | 1.639653 | 1.649827 | 1.772820 | ||||
Median | 1.590233 | 1.571966 | 1.648389 | 1.617760 | 1.797357 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.7643043 | 1.2058947 | Inf | 1.0930240 | 1.2183728 | Inf | Inf | 1.1185773 | Inf |
Maximum | 2.192867 | 1.988234 | -Inf | 2.048939 | 2.522844 | -Inf | -Inf | 2.764180 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.542774 | 1.580973 | 1.636795 | 1.639961 | 1.675419 | ||||
Median | 1.549734 | 1.603059 | 1.642707 | 1.584803 | 1.651121 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.7574075 | 1.1164660 | Inf | 1.2724725 | 1.2446802 | Inf | Inf | 1.2321934 | Inf |
Maximum | 2.149360 | 2.199864 | -Inf | 1.963539 | 3.465624 | -Inf | -Inf | 2.230370 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.521391 | 1.558424 | 1.629053 | 1.590281 | 1.862771 | 1.705724 | |||
Median | 1.557413 | 1.571770 | 1.636869 | 1.558874 | 1.785227 | 1.655383 | |||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6755744 | 1.1821029 | Inf | 1.2359783 | 1.1107304 | Inf | 1.0216947 | 1.3204315 | Inf |
Maximum | 2.052219 | 2.067985 | -Inf | 2.030528 | 2.423977 | -Inf | 2.992119 | 2.220817 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.495159 | 1.524622 | 1.590185 | 1.507175 | 1.682261 | ||||
Median | 1.500838 | 1.514365 | 1.570842 | 1.498303 | 1.638940 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.7584613 | 1.1269184 | Inf | 1.2668238 | 1.1002153 | Inf | Inf | 1.3845477 | Inf |
Maximum | 1.954295 | 2.066758 | -Inf | 2.048888 | 2.204194 | -Inf | -Inf | 2.560827 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.487435 | 1.514201 | 1.580679 | 1.483627 | 1.690166 | ||||
Median | 1.489218 | 1.509805 | 1.602578 | 1.445306 | 1.603212 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.7581288 | 1.1575689 | Inf | 1.2002192 | 1.1229882 | Inf | Inf | 1.2121520 | Inf |
Maximum | 1.892944 | 1.982197 | -Inf | 2.125245 | 2.318663 | -Inf | -Inf | 2.857611 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.463629 | 1.495816 | 1.564616 | 1.511100 | 1.648016 | ||||
Median | 1.465148 | 1.481688 | 1.569835 | 1.522250 | 1.628629 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6592900 | 1.0494966 | Inf | 1.1215211 | 0.9174968 | Inf | Inf | 1.2031840 | Inf |
Maximum | 2.348648 | 2.117112 | -Inf | 2.287070 | 2.145623 | -Inf | -Inf | 2.226441 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.437794 | 1.508272 | 1.572846 | 1.439687 | 1.675618 | ||||
Median | 1.420973 | 1.478505 | 1.561831 | 1.408442 | 1.634638 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6860318 | 1.0188397 | Inf | 0.9925326 | 0.9649634 | Inf | Inf | 1.2398051 | Inf |
Maximum | 2.089235 | 2.039699 | -Inf | 2.034293 | 1.813853 | -Inf | -Inf | 2.374413 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.413913 | 1.488269 | 1.532425 | 1.439563 | 1.613723 | ||||
Median | 1.390155 | 1.474796 | 1.517183 | 1.425784 | 1.637310 | ||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6812541 | 1.1001799 | Inf | 1.0491765 | 0.9829304 | Inf | Inf | 1.2734634 | Inf |
Maximum | 2.792106 | 2.211643 | -Inf | 2.065081 | 1.918549 | -Inf | -Inf | 2.222008 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.401843 | 1.448222 | 1.461061 | 1.787175 | |||||
Median | 1.417448 | 1.430672 | 1.435778 | 1.720349 | |||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6430116 | 1.0788960 | Inf | Inf | 0.9919094 | Inf | Inf | 1.2599743 | Inf |
Maximum | 1.938135 | 1.934572 | -Inf | -Inf | 2.896637 | -Inf | -Inf | 3.725668 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.429541 | 1.418767 | 1.397676 | 1.628244 | |||||
Median | 1.416082 | 1.400572 | 1.398048 | 1.595342 | |||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.7081806 | 1.0359936 | Inf | Inf | 0.9322817 | Inf | Inf | 1.2979180 | Inf |
Maximum | 2.433308 | 1.794863 | -Inf | -Inf | 2.233183 | -Inf | -Inf | 2.649929 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.433862 | 1.425053 | 1.422841 | 1.555965 | |||||
Median | 1.362500 | 1.430496 | 1.393802 | 1.565885 | |||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.5797137 | 1.0812792 | Inf | Inf | 0.9864385 | Inf | Inf | 1.1045641 | Inf |
Maximum | 5.713822 | 1.832873 | -Inf | -Inf | 1.928231 | -Inf | -Inf | 1.932952 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.326018 | 1.427818 | 1.617789 | ||||||
Median | 1.315737 | 1.416305 | 1.617850 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6069152 | 0.9889313 | Inf | Inf | Inf | Inf | Inf | 0.8994405 | Inf |
Maximum | 1.907829 | 1.944720 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.816660 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.346546 | 1.406858 | 1.611765 | ||||||
Median | 1.334190 | 1.399189 | 1.593812 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6300306 | 0.9155126 | Inf | Inf | Inf | Inf | Inf | 1.0691337 | Inf |
Maximum | 1.831820 | 2.176172 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.492902 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.367165 | 1.379027 | 1.581007 | ||||||
Median | 1.363364 | 1.375117 | 1.574998 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6684098 | 0.9855655 | Inf | Inf | Inf | Inf | Inf | 1.1007501 | Inf |
Maximum | 2.059686 | 1.765615 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.385195 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.292981 | 1.370405 | 1.537542 | ||||||
Median | 1.328803 | 1.376493 | 1.496547 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6279924 | 0.9742701 | Inf | Inf | Inf | Inf | Inf | 0.9731948 | Inf |
Maximum | 1.768194 | 1.858930 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.082424 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.316734 | 1.350181 | 1.551135 | ||||||
Median | 1.353642 | 1.341661 | 1.551442 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.5979732 | 0.8283150 | Inf | Inf | Inf | Inf | Inf | 1.1664691 | Inf |
Maximum | 2.239101 | 2.038144 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.525318 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.281168 | 1.360358 | 1.524986 | ||||||
Median | 1.310882 | 1.370273 | 1.482786 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.6066337 | 0.9445119 | Inf | Inf | Inf | Inf | Inf | 1.1501151 | Inf |
Maximum | 1.751234 | 1.786190 | -Inf | -Inf | -Inf | -Inf | -Inf | 1.915484 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.239061 | 1.332935 | 1.494792 | ||||||
Median | 1.231874 | 1.339435 | 1.495254 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.5523774 | 0.9158386 | Inf | Inf | Inf | Inf | Inf | 0.9423434 | Inf |
Maximum | 1.887151 | 1.806749 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.070789 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.214618 | 1.331424 | 1.453691 | ||||||
Median | 1.249026 | 1.336836 | 1.425572 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.5405318 | 0.8407152 | Inf | Inf | Inf | Inf | Inf | 1.0679284 | Inf |
Maximum | 1.819290 | 1.804982 | -Inf | -Inf | -Inf | -Inf | -Inf | 1.905137 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.216765 | 1.313985 | 1.455865 | ||||||
Median | 1.264497 | 1.338301 | 1.478640 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.4566298 | 0.7999462 | Inf | Inf | Inf | Inf | Inf | 0.9346631 | Inf |
Maximum | 1.905049 | 1.827275 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.402041 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.199572 | 1.298760 | 1.407035 | ||||||
Median | 1.239914 | 1.303415 | 1.400388 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.3557239 | 0.6897934 | Inf | Inf | Inf | Inf | Inf | 0.8866577 | Inf |
Maximum | 2.953770 | 1.887110 | -Inf | -Inf | -Inf | -Inf | -Inf | 1.879576 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.176481 | 1.287451 | 1.349093 | ||||||
Median | 1.221871 | 1.303507 | 1.343795 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.3434040 | 0.7165343 | Inf | Inf | Inf | Inf | Inf | 0.9258259 | Inf |
Maximum | 1.721533 | 1.767466 | -Inf | -Inf | -Inf | -Inf | -Inf | 1.598666 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.094880 | 1.281756 | 1.383883 | ||||||
Median | 1.153415 | 1.305384 | 1.409832 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.0000000 | 0.7567287 | Inf | Inf | Inf | Inf | Inf | 0.9212922 | Inf |
Maximum | 1.562026 | 1.758347 | -Inf | -Inf | -Inf | -Inf | -Inf | 2.093124 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.092465 | 1.251703 | 1.626306 | ||||||
Median | 1.139979 | 1.278721 | 1.404174 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.0000000 | 0.6799745 | Inf | Inf | Inf | Inf | Inf | 0.7726685 | Inf |
Maximum | 1.675365 | 1.704969 | -Inf | -Inf | -Inf | -Inf | -Inf | 9.179582 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.058052 | 1.232055 | 1.384897 | ||||||
Median | 1.081783 | 1.250597 | 1.373727 | ||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.2042663 | 0.6114174 | Inf | Inf | Inf | Inf | Inf | 0.9295293 | Inf |
Maximum | 1.658051 | 2.229835 | -Inf | -Inf | -Inf | -Inf | -Inf | 1.783352 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 1.046053 | 1.376418 | |||||||
Median | 1.067602 | 1.410882 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.2520283 | Inf | Inf | Inf | Inf | Inf | Inf | 0.7590651 | Inf |
Maximum | 1.717641 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.857911 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9985161 | 1.3599454 | |||||||
Median | 1.013221 | 1.374106 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.2092105 | Inf | Inf | Inf | Inf | Inf | Inf | 0.6030012 | Inf |
Maximum | 1.816701 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.736985 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9915577 | 1.3662023 | |||||||
Median | 0.9279699 | 1.3882734 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.3072160 | Inf | Inf | Inf | Inf | Inf | Inf | 0.7508554 | Inf |
Maximum | 2.487482 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.861142 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9563411 | 1.3197344 | |||||||
Median | 0.9851384 | 1.3860811 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.1578270 | Inf | Inf | Inf | Inf | Inf | Inf | 0.7454194 | Inf |
Maximum | 1.813425 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.964697 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9407764 | 1.2828090 | |||||||
Median | 0.9896104 | 1.2777384 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.2806184 | Inf | Inf | Inf | Inf | Inf | Inf | 0.5685717 | Inf |
Maximum | 1.647237 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.957471 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9411477 | 1.2657447 | |||||||
Median | 0.9787876 | 1.2721476 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.1485456 | Inf | Inf | Inf | Inf | Inf | Inf | 0.4682131 | Inf |
Maximum | 1.735497 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 2.188807 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9379956 | 1.2766869 | |||||||
Median | 0.905894 | 1.312644 | |||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.3265163 | Inf | Inf | Inf | Inf | Inf | Inf | 0.4534992 | Inf |
Maximum | 1.527561 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | 1.861198 | -Inf |
Data-set | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Mean | 0.9241413 | ||||||||
Median | 0.9542006 | ||||||||
Standard Deviation | 0.8048258 | 0.7184591 | 1.1723635 | 1.0364361 | 0.6579630 | 0.4400817 | 1.0740293 | ||
Minimum | 0.2556553 | Inf | Inf | Inf | Inf | Inf | Inf | Inf | Inf |
Maximum | 1.48534 | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf | -Inf |
\(H_0:\) the data-sets are equal in 1. milk production (kg), 2. DMI (kg), 3. feed efficiency
\(H_1:\) at least one mean is different between all data-sets
Milk production (kg), DMI (kg) and feed efficiency (ratio) are all considered continuous variables. Groups to compare are data-set of cow origin which is a qualitative variable.
Between group observations are independent as data was collected from separate trials and sites by data-set. Within group observations are assumed independent as observations are on the level of cow with one measurement per time-point per cow and assumed no behavior interaction between cows as feed data was collected via individual feed bunks (Calan gates).
Residuals will be assessed for normal distribution. Each group sample size is \(n > 30\).
Group variance differs (a significant levene test indicates unequal variance), but since data-set sample sizes are similar (Table 1) it is assumed that the ANOVA test is robust enough to accept this violation of the assumption. (Or use the Welch ANOVA which does not require this assumption).
Outliers were assessed by box-plot descriptive analysis (Figure-set
4, 5, 6). No outliers were detected in milk production (kg) or DMI
(kg).
In the feed efficiency variable an outlier of 9.18 was observed at week
35 for data-set 8.
CowID | Milk (kg) | FCM (kg) | DMI (kg) | FE | Data-set |
595 | 34.73192 | 192.0359 | 20.91989 | 9.179582 | 8 |
This cow was traced back to the original database of that trial and a value of 10.9 was input as the milk fat yield (kg) at week 35. This is a biological impossibility and a data entry error so the feed efficiency value for this record at week 35 was removed from the ANOVA analysis.
| Min. | 1st Qu. | Median | Mean | 3rd Qu. | Max. | NA’s |
|---|---|---|---|---|---|---|
| 0 | 1.076 | 1.267 | 1.225 | 1.406 | 2.412 | 266 |
\[Y_{i,j} = μ + \beta_i+ϵ_{i,j}\]
\(Y_{i,j}\) is the \(j\)-th observation \((j = 1, 2, ..., n_i\)) of the \(i\)-th group (\(i
= 1, 2, ..., 9\) levels).
\(μ\) is the common effect for the
whole experiment.
\(\beta_i\) is the \(i\)-th treatment effect.
\(ϵ_{i,j}\) is the random error present
in the \(j\)-th observation on the
\(i\)-th treatment.
\(\sum \beta_i = 0, i = 1, ..., 9\) are considered fixed parameters and this is a fixed effects model.
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 6454.75 | 6 | 1075.79 | 27.65 | < .001 |
| Residuals | 13148.65 | 338 | 38.90 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -2.4730757 | -5.7667414 | 0.820590 | 0.2837237 |
| 3-1 | 5.7892787 | 1.8556481 | 9.722909 | 0.0003369 |
| 5-1 | -0.1632628 | -4.0076961 | 3.681170 | 0.9999997 |
| 6-1 | -1.9877696 | -6.1427492 | 2.167210 | 0.7913137 |
| 7-1 | -9.0693725 | -12.6657757 | -5.472969 | 0.0000000 |
| 9-1 | 3.5124395 | 0.0156290 | 7.009250 | 0.0481612 |
| 3-2 | 8.2623544 | 4.5373514 | 11.987357 | 0.0000000 |
| 5-2 | 2.3098130 | -1.3208709 | 5.940497 | 0.4903336 |
| 6-2 | 0.4853061 | -3.4727305 | 4.443343 | 0.9998156 |
| 7-2 | -6.5962968 | -9.9632411 | -3.229353 | 0.0000003 |
| 9-2 | 5.9855153 | 2.7251652 | 9.245865 | 0.0000021 |
| 5-3 | -5.9525415 | -10.1723853 | -1.732698 | 0.0007184 |
| 6-3 | -7.7770483 | -12.2816315 | -3.272465 | 0.0000106 |
| 7-3 | -14.8586513 | -18.8538396 | -10.863463 | 0.0000000 |
| 9-3 | -2.2768392 | -6.1826167 | 1.628938 | 0.5969480 |
| 6-5 | -1.8245068 | -6.2514118 | 2.602398 | 0.8851151 |
| 7-5 | -8.9061098 | -12.8135063 | -4.998713 | 0.0000000 |
| 9-5 | 3.6757023 | -0.1402269 | 7.491632 | 0.0674953 |
| 7-6 | -7.0816030 | -11.2949076 | -2.868298 | 0.0000204 |
| 9-6 | 5.5002091 | 1.3715890 | 9.628829 | 0.0018143 |
| 9-7 | 12.5818121 | 9.0158951 | 16.147729 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 9955.76 | 6 | 1659.29 | 39.13 | < .001 |
| Residuals | 14331.10 | 338 | 42.40 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.4234040 | -2.015173 | 4.8619806 | 0.8829569 |
| 3-1 | 5.2486805 | 1.141982 | 9.3553785 | 0.0033377 |
| 5-1 | 7.3196574 | 3.306081 | 11.3332337 | 0.0000025 |
| 6-1 | 2.1950976 | -2.142688 | 6.5328833 | 0.7441524 |
| 7-1 | -9.0167665 | -12.771400 | -5.2621329 | 0.0000000 |
| 9-1 | 7.9261956 | 4.275536 | 11.5768549 | 0.0000000 |
| 3-2 | 3.8252765 | -0.063615 | 7.7141680 | 0.0572462 |
| 5-2 | 5.8962534 | 2.105831 | 9.6866760 | 0.0001137 |
| 6-2 | 0.7716936 | -3.360484 | 4.9038715 | 0.9979425 |
| 7-2 | -10.4401705 | -13.955250 | -6.9250912 | 0.0000000 |
| 9-2 | 6.5027917 | 3.098997 | 9.9065868 | 0.0000007 |
| 5-3 | 2.0709769 | -2.334527 | 6.4764805 | 0.8046694 |
| 6-3 | -3.0535829 | -7.756354 | 1.6491878 | 0.4645121 |
| 7-3 | -14.2654470 | -18.436411 | -10.0944830 | 0.0000000 |
| 9-3 | 2.6775151 | -1.400104 | 6.7551346 | 0.4502685 |
| 6-5 | -5.1245598 | -9.746235 | -0.5028849 | 0.0189467 |
| 7-5 | -16.3364239 | -20.415734 | -12.2571143 | 0.0000000 |
| 9-5 | 0.6065382 | -3.377280 | 4.5903564 | 0.9993546 |
| 7-6 | -11.2118641 | -15.610541 | -6.8131873 | 0.0000000 |
| 9-6 | 5.7310980 | 1.420832 | 10.0413645 | 0.0018688 |
| 9-7 | 16.9429621 | 13.220156 | 20.6657683 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 11937.27 | 8 | 1492.16 | 32.24 | < .001 |
| Residuals | 17770.30 | 384 | 46.28 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.5117112 | -1.2664130 | 6.289835 | 0.4928067 |
| 3-1 | 4.9429649 | 0.4307448 | 9.455185 | 0.0198883 |
| 4-1 | 7.0005781 | 2.7348716 | 11.266285 | 0.0000171 |
| 5-1 | 10.2860927 | 5.8761897 | 14.695996 | 0.0000000 |
| 6-1 | 4.0151806 | -0.7509464 | 8.781308 | 0.1784502 |
| 7-1 | -7.5312819 | -11.6566725 | -3.405891 | 0.0000009 |
| 8-1 | -1.0946566 | -13.6766831 | 11.487370 | 0.9999991 |
| 9-1 | 10.0497551 | 6.0386060 | 14.060904 | 0.0000000 |
| 3-2 | 2.4312538 | -1.8416522 | 6.704160 | 0.6987146 |
| 4-2 | 4.4888670 | 0.4771532 | 8.500581 | 0.0155998 |
| 5-2 | 7.7743815 | 3.6096679 | 11.939095 | 0.0000004 |
| 6-2 | 1.5034694 | -3.0367466 | 6.043685 | 0.9824696 |
| 7-2 | -10.0429931 | -13.9051741 | -6.180812 | 0.0000000 |
| 8-2 | -3.6063678 | -16.1045671 | 8.891832 | 0.9928851 |
| 9-2 | 7.5380440 | 3.7981359 | 11.277952 | 0.0000000 |
| 4-3 | 2.0576132 | -2.6519256 | 6.767152 | 0.9109067 |
| 5-3 | 5.3431278 | 0.5025960 | 10.183659 | 0.0182519 |
| 6-3 | -0.9277844 | -6.0949373 | 4.239369 | 0.9997622 |
| 7-3 | -12.4742468 | -17.0570790 | -7.891415 | 0.0000000 |
| 8-3 | -6.0376216 | -18.7769659 | 6.701723 | 0.8650396 |
| 9-3 | 5.1067902 | 0.6265200 | 9.587060 | 0.0125022 |
| 5-4 | 3.2855146 | -1.3260870 | 7.897116 | 0.3931188 |
| 6-4 | -2.9853976 | -7.9387390 | 1.967944 | 0.6278776 |
| 7-4 | -14.5318600 | -18.8721909 | -10.191529 | 0.0000000 |
| 8-4 | -8.0952348 | -20.7493651 | 4.558896 | 0.5473280 |
| 9-4 | 3.0491770 | -1.1827188 | 7.281073 | 0.3770414 |
| 6-5 | -6.2709121 | -11.3489613 | -1.192863 | 0.0043054 |
| 7-5 | -17.8173746 | -22.2995019 | -13.335247 | 0.0000000 |
| 8-5 | -11.3807493 | -24.0842137 | 1.322715 | 0.1202560 |
| 9-5 | -0.2363376 | -4.6135438 | 4.140869 | 1.0000000 |
| 7-6 | -11.5464625 | -16.3794932 | -6.713432 | 0.0000000 |
| 8-6 | -5.1098372 | -17.9413114 | 7.721637 | 0.9465239 |
| 9-6 | 6.0345746 | 1.2986843 | 10.770465 | 0.0026958 |
| 8-7 | 6.4366253 | -6.1708968 | 19.044147 | 0.8085068 |
| 9-7 | 17.5810370 | 13.4906168 | 21.671457 | 0.0000000 |
| 9-8 | 11.1444118 | -1.4261921 | 23.715016 | 0.1292001 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 13213.25 | 8 | 1651.66 | 36.09 | < .001 |
| Residuals | 18395.42 | 402 | 45.76 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.2424098 | -1.5135821 | 5.9984017 | 0.6403778 |
| 3-1 | 5.3759946 | 0.8902071 | 9.8617822 | 0.0065401 |
| 4-1 | 7.8468478 | 3.6061298 | 12.0875658 | 0.0000006 |
| 5-1 | 10.0730838 | 5.6890140 | 14.4571535 | 0.0000000 |
| 6-1 | 4.3054981 | -0.4327088 | 9.0437051 | 0.1088288 |
| 7-1 | -7.8443076 | -11.9455316 | -3.7430836 | 0.0000002 |
| 8-1 | -1.0733611 | -6.4851743 | 4.3384521 | 0.9995031 |
| 9-1 | 10.3718147 | 6.3841629 | 14.3594665 | 0.0000000 |
| 3-2 | 3.1335848 | -1.1142905 | 7.3814602 | 0.3441393 |
| 4-2 | 5.6044380 | 1.6162249 | 9.5926511 | 0.0005052 |
| 5-2 | 7.8306740 | 3.6903573 | 11.9709907 | 0.0000003 |
| 6-2 | 2.0630883 | -2.4505311 | 6.5767077 | 0.8875458 |
| 7-2 | -10.0867174 | -13.9262738 | -6.2471610 | 0.0000000 |
| 8-2 | -3.3157709 | -8.5320796 | 1.9005378 | 0.5565525 |
| 9-2 | 8.1294049 | 4.4114052 | 11.8474046 | 0.0000000 |
| 4-3 | 2.4708531 | -2.2110972 | 7.1528035 | 0.7786910 |
| 5-3 | 4.6970891 | -0.1150868 | 9.5092651 | 0.0619267 |
| 6-3 | -1.0704965 | -6.2073803 | 4.0663872 | 0.9992852 |
| 7-3 | -13.2203023 | -17.7762882 | -8.6643163 | 0.0000000 |
| 8-3 | -6.4493557 | -12.2134421 | -0.6852694 | 0.0155933 |
| 9-3 | 4.9958200 | 0.5417953 | 9.4498448 | 0.0151485 |
| 5-4 | 2.2262360 | -2.3583508 | 6.8108228 | 0.8484271 |
| 6-4 | -3.5413497 | -8.4656744 | 1.3829751 | 0.3800009 |
| 7-4 | -15.6911554 | -20.0060607 | -11.3762501 | 0.0000000 |
| 8-4 | -8.9202089 | -14.4956991 | -3.3447187 | 0.0000316 |
| 9-4 | 2.5249669 | -1.6821385 | 6.7320723 | 0.6336442 |
| 6-5 | -5.7675857 | -10.8158876 | -0.7192837 | 0.0121381 |
| 7-5 | -17.9173914 | -22.3732624 | -13.4615204 | 0.0000000 |
| 8-5 | -11.1464449 | -16.8317302 | -5.4611595 | 0.0000001 |
| 9-5 | 0.2987309 | -4.0528337 | 4.6502955 | 0.9999999 |
| 7-6 | -12.1498057 | -16.9545246 | -7.3450868 | 0.0000000 |
| 8-6 | -5.3788592 | -11.3414935 | 0.5837750 | 0.1146230 |
| 9-6 | 6.0663166 | 1.3581691 | 10.7744640 | 0.0022588 |
| 8-7 | 6.7709465 | 1.3008057 | 12.2410873 | 0.0041512 |
| 9-7 | 18.2161223 | 14.1496637 | 22.2825809 | 0.0000000 |
| 9-8 | 11.4451758 | 6.0596610 | 16.8306905 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 14020.28 | 8 | 1752.53 | 38.60 | < .001 |
| Residuals | 18432.48 | 406 | 45.40 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.1027092 | -0.6382959 | 6.8437142 | 0.1954952 |
| 3-1 | 6.5315699 | 2.0636812 | 10.9994587 | 0.0002331 |
| 4-1 | 7.9987433 | 3.7749463 | 12.2225404 | 0.0000003 |
| 5-1 | 10.2344234 | 5.8678466 | 14.6010003 | 0.0000000 |
| 6-1 | 3.9636632 | -0.7556378 | 8.6829642 | 0.1818097 |
| 7-1 | -7.7011602 | -11.7860199 | -3.6163005 | 0.0000003 |
| 8-1 | -2.1248708 | -7.1934272 | 2.9436857 | 0.9288607 |
| 9-1 | 10.8635888 | 6.8918482 | 14.8353295 | 0.0000000 |
| 3-2 | 3.4288607 | -0.8020651 | 7.6597866 | 0.2219578 |
| 4-2 | 4.8960341 | 0.9237344 | 8.8683338 | 0.0044129 |
| 5-2 | 7.1317142 | 3.0079178 | 11.2555106 | 0.0000042 |
| 6-2 | 0.8609540 | -3.6346556 | 5.3565636 | 0.9996168 |
| 7-2 | -10.8038694 | -14.6281055 | -6.9796332 | 0.0000000 |
| 8-2 | -5.2275800 | -10.0885437 | -0.3666163 | 0.0243328 |
| 9-2 | 7.7608796 | 4.0577151 | 11.4640441 | 0.0000000 |
| 4-3 | 1.4671734 | -3.1960954 | 6.1304422 | 0.9874235 |
| 5-3 | 3.7028535 | -1.0901214 | 8.4958283 | 0.2816361 |
| 6-3 | -2.5679068 | -7.6842938 | 2.5484803 | 0.8230979 |
| 7-3 | -14.2327301 | -18.7705372 | -9.6949230 | 0.0000000 |
| 8-3 | -8.6564407 | -14.0966502 | -3.2162312 | 0.0000360 |
| 9-3 | 4.3320189 | -0.1042339 | 8.7682716 | 0.0617002 |
| 5-4 | 2.2356801 | -2.3306137 | 6.8019740 | 0.8424254 |
| 6-4 | -4.0350801 | -8.9397563 | 0.8695960 | 0.2045592 |
| 7-4 | -15.6999035 | -19.9975918 | -11.4022152 | 0.0000000 |
| 8-4 | -10.1236141 | -15.3652084 | -4.8820198 | 0.0000001 |
| 9-4 | 2.8648455 | -1.3254731 | 7.0551641 | 0.4528231 |
| 6-5 | -6.2707603 | -11.2989190 | -1.2426016 | 0.0037164 |
| 7-5 | -17.9355836 | -22.3736752 | -13.4974921 | 0.0000000 |
| 8-5 | -12.3592942 | -17.7166109 | -7.0019775 | 0.0000000 |
| 9-5 | 0.6291654 | -3.7050360 | 4.9633668 | 0.9999527 |
| 7-6 | -11.6648233 | -16.4503709 | -6.8792758 | 0.0000000 |
| 8-6 | -6.0885339 | -11.7370427 | -0.4400252 | 0.0237362 |
| 9-6 | 6.8999256 | 2.2105642 | 11.5892871 | 0.0002042 |
| 8-7 | 5.5762894 | 0.4459943 | 10.7065845 | 0.0216716 |
| 9-7 | 18.5647490 | 14.5145160 | 22.6149820 | 0.0000000 |
| 9-8 | 12.9884596 | 7.9477679 | 18.0291513 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 14704.30 | 8 | 1838.04 | 37.85 | < .001 |
| Residuals | 20201.26 | 416 | 48.56 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.0396538 | -0.8288704 | 6.9081780 | 0.2599408 |
| 3-1 | 5.6059359 | 0.9857508 | 10.2261210 | 0.0055074 |
| 4-1 | 7.9345270 | 3.5667539 | 12.3023000 | 0.0000010 |
| 5-1 | 9.9104184 | 5.3949987 | 14.4258382 | 0.0000000 |
| 6-1 | 5.1792367 | 0.2990695 | 10.0594039 | 0.0279869 |
| 7-1 | -7.9437235 | -12.1678232 | -3.7196237 | 0.0000003 |
| 8-1 | -1.7199713 | -6.4184099 | 2.9784673 | 0.9674920 |
| 9-1 | 11.4551347 | 7.3480098 | 15.5622595 | 0.0000000 |
| 3-2 | 2.5662821 | -1.8088627 | 6.9414269 | 0.6628087 |
| 4-2 | 4.8948732 | 0.7871702 | 9.0025761 | 0.0070550 |
| 5-2 | 6.8707646 | 2.6064009 | 11.1351283 | 0.0000264 |
| 6-2 | 2.1395829 | -2.5092679 | 6.7884337 | 0.8836844 |
| 7-2 | -10.9833773 | -14.9379696 | -7.0287849 | 0.0000000 |
| 8-2 | -4.7596251 | -9.2173271 | -0.3019231 | 0.0262610 |
| 9-2 | 8.4154808 | 4.5860871 | 12.2448746 | 0.0000000 |
| 4-3 | 2.3285911 | -2.4936339 | 7.1508161 | 0.8525849 |
| 5-3 | 4.3044825 | -0.6518698 | 9.2608348 | 0.1480962 |
| 6-3 | -0.4266992 | -5.7174878 | 4.8640894 | 0.9999995 |
| 7-3 | -13.5496594 | -18.2421461 | -8.8571726 | 0.0000000 |
| 8-3 | -7.3259072 | -12.4495522 | -2.2022622 | 0.0003610 |
| 9-3 | 5.8491988 | 1.2617281 | 10.4366694 | 0.0026550 |
| 5-4 | 1.9758914 | -2.7460530 | 6.6978359 | 0.9296484 |
| 6-4 | -2.7552903 | -7.8271514 | 2.3165709 | 0.7500831 |
| 7-4 | -15.8782504 | -20.3224335 | -11.4340674 | 0.0000000 |
| 8-4 | -9.6544983 | -14.5517494 | -4.7572471 | 0.0000001 |
| 9-4 | 3.5206077 | -0.8125457 | 7.8537611 | 0.2190530 |
| 6-5 | -4.7311817 | -9.9307346 | 0.4683711 | 0.1077939 |
| 7-5 | -17.8541419 | -22.4435140 | -13.2647697 | 0.0000000 |
| 8-5 | -11.6303897 | -16.6597677 | -6.6010117 | 0.0000000 |
| 9-5 | 1.5447162 | -2.9372245 | 6.0266570 | 0.9775410 |
| 7-6 | -13.1229602 | -18.0716320 | -8.1742883 | 0.0000000 |
| 8-6 | -6.8992080 | -12.2584672 | -1.5399488 | 0.0022848 |
| 9-6 | 6.2758980 | 1.4266909 | 11.1251050 | 0.0020998 |
| 8-7 | 6.2237522 | 1.4541981 | 10.9933063 | 0.0018396 |
| 9-7 | 19.3988581 | 15.2105654 | 23.5871508 | 0.0000000 |
| 9-8 | 13.1751059 | 8.5088331 | 17.8413788 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 13588.29 | 8 | 1698.54 | 34.85 | < .001 |
| Residuals | 20325.59 | 417 | 48.74 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.3580735 | -0.5176316 | 7.2337786 | 0.1503388 |
| 3-1 | 5.9399863 | 1.3112251 | 10.5687475 | 0.0024010 |
| 4-1 | 8.2089811 | 3.8331005 | 12.5848618 | 0.0000004 |
| 5-1 | 10.1550979 | 5.6312965 | 14.6788994 | 0.0000000 |
| 6-1 | 5.2564617 | 0.3672358 | 10.1456876 | 0.0244005 |
| 7-1 | -7.0264696 | -11.2584102 | -2.7945289 | 0.0000124 |
| 8-1 | 1.0840395 | -3.5829968 | 5.7510757 | 0.9984352 |
| 9-1 | 12.0366852 | 7.9219366 | 16.1514338 | 0.0000000 |
| 3-2 | 2.5819128 | -1.8013533 | 6.9651789 | 0.6575928 |
| 4-2 | 4.8509076 | 0.7355798 | 8.9662354 | 0.0081518 |
| 5-2 | 6.7970244 | 2.5247451 | 11.0693038 | 0.0000359 |
| 6-2 | 1.8983882 | -2.7590920 | 6.5558683 | 0.9392081 |
| 7-2 | -10.3845431 | -14.3464761 | -6.4226101 | 0.0000000 |
| 8-2 | -2.2740341 | -6.6976998 | 2.1496317 | 0.8029714 |
| 9-2 | 8.6786117 | 4.8421097 | 12.5151137 | 0.0000000 |
| 4-3 | 2.2689948 | -2.5621814 | 7.1001710 | 0.8712867 |
| 5-3 | 4.2151116 | -0.7504408 | 9.1806641 | 0.1707115 |
| 6-3 | -0.6835246 | -5.9841342 | 4.6170849 | 0.9999811 |
| 7-3 | -12.9664559 | -17.6676529 | -8.2652588 | 0.0000000 |
| 8-3 | -4.8559468 | -9.9523337 | 0.2404400 | 0.0757432 |
| 9-3 | 6.0966989 | 1.5007128 | 10.6926850 | 0.0014021 |
| 5-4 | 1.9461168 | -2.7845927 | 6.6768263 | 0.9359874 |
| 6-4 | -2.9525194 | -8.0337952 | 2.1287563 | 0.6743579 |
| 7-4 | -15.2354507 | -19.6878831 | -10.7830182 | 0.0000000 |
| 8-4 | -7.1249417 | -11.9928016 | -2.2570817 | 0.0002265 |
| 9-4 | 3.8277041 | -0.5134927 | 8.1689009 | 0.1341496 |
| 6-5 | -4.8986363 | -10.1078407 | 0.3105681 | 0.0841124 |
| 7-5 | -17.1815675 | -21.7794586 | -12.5836764 | 0.0000000 |
| 8-5 | -9.0710585 | -14.0723091 | -4.0698079 | 0.0000010 |
| 9-5 | 1.8815872 | -2.6086730 | 6.3718475 | 0.9291091 |
| 7-6 | -12.2829312 | -17.2407890 | -7.3250735 | 0.0000000 |
| 8-6 | -4.1724222 | -9.5064881 | 1.1616436 | 0.2656625 |
| 9-6 | 6.7802235 | 1.9220152 | 11.6384318 | 0.0005719 |
| 8-7 | 8.1105090 | 3.3716220 | 12.8493961 | 0.0000055 |
| 9-7 | 19.0631548 | 14.8670876 | 23.2592219 | 0.0000000 |
| 9-8 | 10.9526457 | 6.3181139 | 15.5871775 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 12626.16 | 8 | 1578.27 | 34.52 | < .001 |
| Residuals | 18929.53 | 414 | 45.72 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.0546879 | -0.6992193 | 6.8085951 | 0.2172327 |
| 3-1 | 6.4928132 | 1.9335804 | 11.0520460 | 0.0003905 |
| 4-1 | 8.3427710 | 4.1044067 | 12.5811353 | 0.0000001 |
| 5-1 | 9.3744503 | 4.9928138 | 13.7560868 | 0.0000000 |
| 6-1 | 5.6876364 | 0.9018493 | 10.4734235 | 0.0073145 |
| 7-1 | -6.7066213 | -10.8055691 | -2.6076736 | 0.0000181 |
| 8-1 | 1.8263438 | -2.6940262 | 6.3467138 | 0.9421330 |
| 9-1 | 11.6880541 | 7.7026155 | 15.6734927 | 0.0000000 |
| 3-2 | 3.4381253 | -0.8875035 | 7.7637542 | 0.2455252 |
| 4-2 | 5.2880832 | 1.3020836 | 9.2740827 | 0.0014005 |
| 5-2 | 6.3197624 | 2.1817437 | 10.4577812 | 0.0000919 |
| 6-2 | 2.6329485 | -1.9308458 | 7.1967428 | 0.6829155 |
| 7-2 | -9.7613092 | -13.5987346 | -5.9238838 | 0.0000000 |
| 8-2 | -1.2283441 | -5.5129917 | 3.0563036 | 0.9932178 |
| 9-2 | 8.6333662 | 4.9174301 | 12.3493024 | 0.0000000 |
| 4-3 | 1.8499578 | -2.9021972 | 6.6021128 | 0.9532207 |
| 5-3 | 2.8816371 | -1.9987301 | 7.7620043 | 0.6545483 |
| 6-3 | -0.8051768 | -6.0514139 | 4.4410602 | 0.9999278 |
| 7-3 | -13.1994345 | -17.8276759 | -8.5711932 | 0.0000000 |
| 8-3 | -4.6664694 | -9.6717656 | 0.3388268 | 0.0899318 |
| 9-3 | 5.1952409 | 0.6672208 | 9.7232610 | 0.0115080 |
| 5-4 | 1.0316793 | -3.5503630 | 5.6137216 | 0.9987483 |
| 6-4 | -2.6551347 | -7.6250573 | 2.3147880 | 0.7669725 |
| 7-4 | -15.0493924 | -19.3619028 | -10.7368820 | 0.0000000 |
| 8-4 | -6.5164272 | -11.2313098 | -1.8015446 | 0.0006846 |
| 9-4 | 3.3452830 | -0.8594873 | 7.5500534 | 0.2443358 |
| 6-5 | -3.6868139 | -8.7794692 | 1.4058413 | 0.3707210 |
| 7-5 | -16.0810716 | -20.5344695 | -11.6276738 | 0.0000000 |
| 8-5 | -7.5481065 | -12.3921879 | -2.7040251 | 0.0000585 |
| 9-5 | 2.3136038 | -2.0355456 | 6.6627532 | 0.7711615 |
| 7-6 | -12.3942577 | -17.2458319 | -7.5426835 | 0.0000000 |
| 8-6 | -3.8612925 | -9.0737914 | 1.3512063 | 0.3384645 |
| 9-6 | 6.0004177 | 1.2443563 | 10.7564791 | 0.0031223 |
| 8-7 | 8.5329652 | 3.9430023 | 13.1229280 | 0.0000005 |
| 9-7 | 18.3946754 | 14.3304738 | 22.4588770 | 0.0000000 |
| 9-8 | 9.8617103 | 5.3728232 | 14.3505973 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 11792.01 | 7 | 1684.57 | 39.07 | < .001 |
| Residuals | 16297.97 | 378 | 43.12 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.1172034 | -0.4459342 | 6.680341 | 0.1362526 |
| 4-1 | 8.4669906 | 4.4440157 | 12.489966 | 0.0000000 |
| 5-1 | 9.9324155 | 5.7734492 | 14.091382 | 0.0000000 |
| 6-1 | 6.2478009 | 1.7052225 | 10.790379 | 0.0008945 |
| 7-1 | -6.2023255 | -10.1339517 | -2.270699 | 0.0000598 |
| 8-1 | 2.7329487 | -1.5577008 | 7.023598 | 0.5232263 |
| 9-1 | 11.5723402 | 7.7894375 | 15.355243 | 0.0000000 |
| 4-2 | 5.3497873 | 1.5663521 | 9.133223 | 0.0005480 |
| 5-2 | 6.8152121 | 2.8874832 | 10.742941 | 0.0000058 |
| 6-2 | 3.1305975 | -1.2012695 | 7.462465 | 0.3523943 |
| 7-2 | -9.3195288 | -13.0056838 | -5.633374 | 0.0000000 |
| 8-2 | -0.3842547 | -4.4511610 | 3.682652 | 0.9999919 |
| 9-2 | 8.4551369 | 4.9280408 | 11.982233 | 0.0000000 |
| 5-4 | 1.4654248 | -2.8837628 | 5.814612 | 0.9701504 |
| 6-4 | -2.2191898 | -6.9365461 | 2.498166 | 0.8410305 |
| 7-4 | -14.6693161 | -18.8016420 | -10.536990 | 0.0000000 |
| 8-4 | -5.7340420 | -10.2093191 | -1.258765 | 0.0027927 |
| 9-4 | 3.1053496 | -0.8857387 | 7.096438 | 0.2584822 |
| 6-5 | -3.6846146 | -8.5184664 | 1.149237 | 0.2836228 |
| 7-5 | -16.1347409 | -20.3995727 | -11.869909 | 0.0000000 |
| 8-5 | -7.1994668 | -11.7973770 | -2.601557 | 0.0000706 |
| 9-5 | 1.6399248 | -2.4882053 | 5.768055 | 0.9284689 |
| 7-6 | -12.4501263 | -17.0898254 | -7.810427 | 0.0000000 |
| 8-6 | -3.5148522 | -8.4624572 | 1.432753 | 0.3752894 |
| 9-6 | 5.3245394 | 0.8101761 | 9.838903 | 0.0087125 |
| 8-7 | 8.9352742 | 4.5419312 | 13.328617 | 0.0000000 |
| 9-7 | 17.7746657 | 13.8756732 | 21.673658 | 0.0000000 |
| 9-8 | 8.8393916 | 4.5786251 | 13.100158 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 7389.02 | 6 | 1231.50 | 27.63 | < .001 |
| Residuals | 14218.88 | 319 | 44.57 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.0526806 | -0.4742024 | 6.5795636 | 0.1393582 |
| 4-1 | 8.4287083 | 4.4466666 | 12.4107500 | 0.0000000 |
| 5-1 | 9.1425096 | 5.0258604 | 13.2591589 | 0.0000000 |
| 6-1 | 6.8534719 | 2.3571137 | 11.3498300 | 0.0001736 |
| 7-1 | -5.8653066 | -9.8234710 | -1.9071422 | 0.0002993 |
| 8-1 | 2.8606948 | -1.3862978 | 7.1076874 | 0.4175103 |
| 4-2 | 5.3760277 | 1.6310885 | 9.1209669 | 0.0005336 |
| 5-2 | 6.0898290 | 2.2020643 | 9.9775937 | 0.0000997 |
| 6-2 | 3.8007913 | -0.4869995 | 8.0885820 | 0.1204344 |
| 7-2 | -8.9179872 | -12.6375274 | -5.1984471 | 0.0000000 |
| 8-2 | -0.1919858 | -4.2175118 | 3.8335402 | 0.9999993 |
| 5-4 | 0.7138013 | -3.5911338 | 5.0187365 | 0.9989461 |
| 6-4 | -1.5752364 | -6.2445942 | 3.0941213 | 0.9535304 |
| 7-4 | -14.2940149 | -18.4476556 | -10.1403742 | 0.0000000 |
| 8-4 | -5.5680135 | -9.9977552 | -1.1382717 | 0.0042188 |
| 6-5 | -2.2890378 | -7.0737057 | 2.4956301 | 0.7910005 |
| 7-5 | -15.0078162 | -19.2906746 | -10.7249578 | 0.0000000 |
| 8-5 | -6.2818148 | -10.8329418 | -1.7306878 | 0.0010408 |
| 7-6 | -12.7187785 | -17.3677903 | -8.0697666 | 0.0000000 |
| 8-6 | -3.9927770 | -8.8900408 | 0.9044867 | 0.1939293 |
| 8-7 | 8.7260014 | 4.3177114 | 13.1342915 | 0.0000002 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 5404.25 | 5 | 1080.85 | 23.11 | < .001 |
| Residuals | 13422.65 | 287 | 46.77 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6244016 | -0.8687566 | 6.1175599 | 0.2621458 |
| 4-1 | 7.3495216 | 3.4055570 | 11.2934863 | 0.0000027 |
| 5-1 | 8.1265423 | 4.0492572 | 12.2038273 | 0.0000004 |
| 7-1 | -5.4011882 | -9.3952803 | -1.4070960 | 0.0017906 |
| 8-1 | 3.6952774 | -0.5111047 | 7.9016594 | 0.1215739 |
| 4-2 | 4.7251200 | 1.0159907 | 8.4342493 | 0.0041065 |
| 5-2 | 5.5021407 | 1.6515515 | 9.3527298 | 0.0007601 |
| 7-2 | -8.0255898 | -11.7879767 | -4.2632029 | 0.0000000 |
| 8-2 | 1.0708757 | -2.9161574 | 5.0579089 | 0.9722371 |
| 5-4 | 0.7770207 | -3.4867499 | 5.0407912 | 0.9952430 |
| 7-4 | -12.7507098 | -16.9349968 | -8.5664228 | 0.0000000 |
| 8-4 | -3.6542443 | -8.0416280 | 0.7331394 | 0.1633060 |
| 7-5 | -13.5277305 | -17.8379107 | -9.2175502 | 0.0000000 |
| 8-5 | -4.4312649 | -8.9388732 | 0.0763433 | 0.0570822 |
| 8-7 | 9.0964655 | 4.6639662 | 13.5289649 | 0.0000002 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 5308.19 | 5 | 1061.64 | 24.60 | < .001 |
| Residuals | 12212.13 | 283 | 43.15 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.5850866 | -0.7706211 | 5.9407944 | 0.2361785 |
| 4-1 | 7.9012725 | 4.1124970 | 11.6900480 | 0.0000001 |
| 5-1 | 7.7964830 | 3.8796330 | 11.7133330 | 0.0000004 |
| 7-1 | -5.4260186 | -9.3718340 | -1.4802033 | 0.0013955 |
| 8-1 | 4.1486809 | 0.1078137 | 8.1895481 | 0.0403625 |
| 4-2 | 5.3161859 | 1.7530052 | 8.8793665 | 0.0003643 |
| 5-2 | 5.2113964 | 1.5123221 | 8.9104706 | 0.0009571 |
| 7-2 | -8.0111053 | -11.7408365 | -4.2813741 | 0.0000000 |
| 8-2 | 1.5635943 | -2.2665551 | 5.3937436 | 0.8501596 |
| 5-4 | -0.1047895 | -4.2007871 | 3.9912080 | 0.9999997 |
| 7-4 | -13.3272912 | -17.4509959 | -9.2035864 | 0.0000000 |
| 8-4 | -3.7525916 | -7.9673383 | 0.4621551 | 0.1121841 |
| 7-5 | -13.2225016 | -17.4641799 | -8.9808234 | 0.0000000 |
| 8-5 | -3.6478021 | -7.9780427 | 0.6824385 | 0.1538091 |
| 8-7 | 9.5746996 | 5.2182413 | 13.9311578 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 4585.50 | 5 | 917.10 | 21.15 | < .001 |
| Residuals | 12183.21 | 281 | 43.36 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.3774645 | 0.0136611 | 6.7412679 | 0.0484177 |
| 4-1 | 8.1710155 | 4.3730996 | 11.9689315 | 0.0000000 |
| 5-1 | 7.6982301 | 3.7719307 | 11.6245295 | 0.0000007 |
| 7-1 | -4.1289287 | -8.1463249 | -0.1115326 | 0.0400092 |
| 8-1 | 4.9892479 | 0.9386321 | 9.0398637 | 0.0062980 |
| 4-2 | 4.7935510 | 1.2217742 | 8.3653278 | 0.0020048 |
| 5-2 | 4.3207656 | 0.6127673 | 8.0287639 | 0.0119677 |
| 7-2 | -7.5063933 | -11.3107192 | -3.7020673 | 0.0000006 |
| 8-2 | 1.6117834 | -2.2276062 | 5.4511730 | 0.8344079 |
| 5-4 | -0.4727854 | -4.5786645 | 3.6330938 | 0.9994745 |
| 7-4 | -12.2999443 | -16.4930205 | -8.1068680 | 0.0000000 |
| 8-4 | -3.1817676 | -7.4066824 | 1.0431472 | 0.2595433 |
| 7-5 | -11.8271589 | -16.1368630 | -7.5174547 | 0.0000000 |
| 8-5 | -2.7089822 | -7.0496695 | 1.6317051 | 0.4733373 |
| 8-7 | 9.1181766 | 4.6949187 | 13.5414346 | 0.0000001 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 4159.97 | 5 | 831.99 | 18.45 | < .001 |
| Residuals | 12672.91 | 281 | 45.10 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.141740 | -0.2890009 | 6.5724806 | 0.0940028 |
| 4-1 | 7.861652 | 3.9881604 | 11.7351441 | 0.0000002 |
| 5-1 | 6.856717 | 2.8522870 | 10.8611470 | 0.0000224 |
| 7-1 | -3.849219 | -7.9465589 | 0.2481202 | 0.0792675 |
| 8-1 | 5.811176 | 1.6799556 | 9.9423961 | 0.0009820 |
| 4-2 | 4.719912 | 1.0770596 | 8.3627651 | 0.0032826 |
| 5-2 | 3.714977 | -0.0668077 | 7.4967620 | 0.0574025 |
| 7-2 | -6.990959 | -10.8709886 | -3.1109298 | 0.0000066 |
| 8-2 | 2.669436 | -1.2463548 | 6.5852268 | 0.3704026 |
| 5-4 | -1.004935 | -5.1925185 | 3.1826481 | 0.9831156 |
| 7-4 | -11.710872 | -15.9873871 | -7.4343560 | 0.0000000 |
| 8-4 | -2.050476 | -6.3594640 | 2.2585113 | 0.7476305 |
| 7-5 | -10.705936 | -15.1014006 | -6.3104721 | 0.0000000 |
| 8-5 | -1.045541 | -5.4726051 | 3.3815228 | 0.9842862 |
| 8-7 | 9.660395 | 5.1491175 | 14.1716730 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1718.28 | 4 | 429.57 | 9.60 | < .001 |
| Residuals | 10965.29 | 245 | 44.76 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6307040 | -0.6425016 | 5.903910 | 0.1798951 |
| 4-1 | 7.3674144 | 3.6717881 | 11.063041 | 0.0000011 |
| 5-1 | 5.9265812 | 2.1060292 | 9.747133 | 0.0002768 |
| 8-1 | 5.1875960 | 1.2460759 | 9.129116 | 0.0033028 |
| 4-2 | 4.7367103 | 1.2611326 | 8.212288 | 0.0020779 |
| 5-2 | 3.2958771 | -0.3122532 | 6.904007 | 0.0916338 |
| 8-2 | 2.5568920 | -1.1790909 | 6.292875 | 0.3304011 |
| 5-4 | -1.4408332 | -5.4361282 | 2.554462 | 0.8591905 |
| 8-4 | -2.1798183 | -6.2909430 | 1.931306 | 0.5913006 |
| 8-5 | -0.7389852 | -4.9627642 | 3.484794 | 0.9890488 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1842.98 | 4 | 460.75 | 9.87 | < .001 |
| Residuals | 11441.67 | 245 | 46.70 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6584406 | -0.6851095 | 6.001991 | 0.1888063 |
| 4-1 | 7.4133038 | 3.6382548 | 11.188353 | 0.0000016 |
| 5-1 | 6.3856509 | 2.4829914 | 10.288310 | 0.0001036 |
| 8-1 | 5.4814808 | 1.4552535 | 9.507708 | 0.0021077 |
| 4-2 | 4.7548632 | 1.2045917 | 8.305135 | 0.0026299 |
| 5-2 | 3.7272103 | 0.0415376 | 7.412883 | 0.0459945 |
| 8-2 | 2.8230402 | -0.9932327 | 6.639313 | 0.2534124 |
| 5-4 | -1.0276529 | -5.1088109 | 3.053505 | 0.9580838 |
| 8-4 | -1.9318230 | -6.1312999 | 2.267654 | 0.7133818 |
| 8-5 | -0.9041701 | -5.2187224 | 3.410382 | 0.9784851 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1613.15 | 4 | 403.29 | 9.12 | < .001 |
| Residuals | 10828.06 | 245 | 44.20 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.7500035 | -0.5026557 | 6.002663 | 0.1409517 |
| 4-1 | 7.3442407 | 3.6718127 | 11.016669 | 0.0000010 |
| 5-1 | 5.5544634 | 1.7578938 | 9.351033 | 0.0007320 |
| 8-1 | 4.9765052 | 1.0597268 | 8.893284 | 0.0051157 |
| 4-2 | 4.5942373 | 1.1404764 | 8.047998 | 0.0028770 |
| 5-2 | 2.8044599 | -0.7810215 | 6.389941 | 0.2027516 |
| 8-2 | 2.2265017 | -1.4860297 | 5.939033 | 0.4681827 |
| 5-4 | -1.7897774 | -5.7599931 | 2.180438 | 0.7285893 |
| 8-4 | -2.3677356 | -6.4530539 | 1.717583 | 0.5034401 |
| 8-5 | -0.5779582 | -4.7752238 | 3.619307 | 0.9956218 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1476.43 | 4 | 369.11 | 8.49 | < .001 |
| Residuals | 10651.31 | 245 | 43.47 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.4858398 | -0.7401621 | 5.711842 | 0.2158672 |
| 4-1 | 6.9747089 | 3.3323783 | 10.617040 | 0.0000031 |
| 5-1 | 4.7873105 | 1.0218559 | 8.552765 | 0.0050764 |
| 8-1 | 5.3034031 | 1.4187248 | 9.188081 | 0.0020291 |
| 4-2 | 4.4888691 | 1.0634136 | 7.914325 | 0.0034912 |
| 5-2 | 2.3014707 | -1.2546257 | 5.857567 | 0.3884204 |
| 8-2 | 2.8175634 | -0.8645419 | 6.499669 | 0.2221118 |
| 5-4 | -2.1873984 | -6.1250761 | 1.750279 | 0.5461634 |
| 8-4 | -1.6713057 | -5.7231427 | 2.380531 | 0.7885849 |
| 8-5 | 0.5160926 | -3.6467742 | 4.678959 | 0.9970863 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 440.17 | 3 | 146.72 | 3.16 | 0.026 |
| Residuals | 9336.02 | 201 | 46.45 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.4311200 | -0.7122075 | 5.574447 | 0.1900496 |
| 5-1 | 4.1678055 | 0.4988501 | 7.836761 | 0.0189029 |
| 8-1 | 2.8485942 | -0.9365295 | 6.633718 | 0.2108565 |
| 5-2 | 1.7366855 | -1.7282770 | 5.201648 | 0.5649719 |
| 8-2 | 0.4174742 | -3.1702679 | 4.005216 | 0.9904586 |
| 8-5 | -1.3192113 | -5.3753942 | 2.736972 | 0.8340526 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 350.37 | 3 | 116.79 | 2.53 | 0.059 |
| Residuals | 9288.26 | 201 | 46.21 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.7050189 | -0.4302579 | 5.840296 | 0.1173461 |
| 5-1 | 3.3804976 | -0.2790610 | 7.040056 | 0.0816576 |
| 8-1 | 2.7502497 | -1.0251796 | 6.525679 | 0.2368045 |
| 5-2 | 0.6754786 | -2.7806095 | 4.131567 | 0.9575067 |
| 8-2 | 0.0452308 | -3.5333223 | 3.623784 | 0.9999873 |
| 8-5 | -0.6302479 | -4.6760420 | 3.415546 | 0.9777188 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 285.27 | 3 | 95.09 | 2.20 | 0.089 |
| Residuals | 8691.82 | 201 | 43.24 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.4292731 | -0.6036689 | 5.462215 | 0.1648439 |
| 5-1 | 2.8371689 | -0.7029423 | 6.377280 | 0.1644339 |
| 8-1 | 2.8280969 | -0.8241030 | 6.480297 | 0.1891544 |
| 5-2 | 0.4078958 | -2.9353862 | 3.751178 | 0.9890394 |
| 8-2 | 0.3988239 | -3.0629259 | 3.860574 | 0.9907331 |
| 8-5 | -0.0090719 | -3.9228121 | 3.904668 | 0.9999999 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 454.98 | 2 | 227.49 | 5.36 | 0.006 |
| Residuals | 6839.21 | 161 | 42.48 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.621362 | -0.1235423 | 5.366265 | 0.0646433 |
| 8-1 | 4.445097 | 1.1113285 | 7.778865 | 0.0054270 |
| 8-2 | 1.823735 | -1.3392189 | 4.986689 | 0.3622754 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 592.03 | 2 | 296.02 | 6.51 | 0.002 |
| Residuals | 7230.31 | 159 | 45.47 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.247427 | 0.4071025 | 6.087752 | 0.0205897 |
| 8-1 | 5.004214 | 1.4912529 | 8.517176 | 0.0026992 |
| 8-2 | 1.756787 | -1.5827743 | 5.096348 | 0.4288207 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 698.79 | 2 | 349.39 | 7.61 | < .001 |
| Residuals | 7298.07 | 159 | 45.90 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.189458 | 0.3358549 | 6.043062 | 0.0243150 |
| 8-1 | 5.621529 | 2.0921443 | 9.150913 | 0.0006736 |
| 8-2 | 2.432071 | -0.9231033 | 5.787244 | 0.2027588 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 479.66 | 2 | 239.83 | 6.09 | 0.003 |
| Residuals | 6260.81 | 159 | 39.38 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.537799 | -0.1052487 | 5.180847 | 0.0627888 |
| 8-1 | 4.699379 | 1.4304131 | 7.968344 | 0.0024340 |
| 8-2 | 2.161580 | -0.9460294 | 5.269189 | 0.2296551 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 732.14 | 2 | 366.07 | 9.98 | < .001 |
| Residuals | 5834.69 | 159 | 36.70 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.983246 | 0.4317276 | 5.534764 | 0.0173505 |
| 8-1 | 5.855742 | 2.6999812 | 9.011502 | 0.0000609 |
| 8-2 | 2.872496 | -0.1274960 | 5.872488 | 0.0637389 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 611.53 | 2 | 305.76 | 9.48 | < .001 |
| Residuals | 5128.41 | 159 | 32.25 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.791087 | 0.3989767 | 5.183197 | 0.0176324 |
| 8-1 | 5.331819 | 2.3732167 | 8.290421 | 0.0001015 |
| 8-2 | 2.540732 | -0.2718333 | 5.353297 | 0.0856555 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 601.83 | 2 | 300.92 | 7.67 | < .001 |
| Residuals | 6238.90 | 159 | 39.24 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.266623 | 0.6282056 | 5.905041 | 0.0108253 |
| 8-1 | 5.050466 | 1.7872272 | 8.313705 | 0.0009889 |
| 8-2 | 1.783843 | -1.3183222 | 4.886008 | 0.3641931 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 902.92 | 2 | 451.46 | 12.29 | < .001 |
| Residuals | 5842.97 | 159 | 36.75 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.618120 | 1.0647923 | 6.171448 | 0.0028626 |
| 8-1 | 6.393294 | 3.2352952 | 9.551292 | 0.0000113 |
| 8-2 | 2.775174 | -0.2269458 | 5.777293 | 0.0764988 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 790.30 | 2 | 395.15 | 11.32 | < .001 |
| Residuals | 5550.74 | 159 | 34.91 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.545213 | 1.0565552 | 6.033871 | 0.0026981 |
| 8-1 | 5.904671 | 2.8266571 | 8.982685 | 0.0000330 |
| 8-2 | 2.359458 | -0.5666251 | 5.285541 | 0.1398156 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 599.56 | 2 | 299.78 | 8.37 | < .001 |
| Residuals | 5695.93 | 159 | 35.82 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.905607 | 0.3846111 | 5.426603 | 0.0193770 |
| 8-1 | 5.227656 | 2.1096460 | 8.345666 | 0.0003226 |
| 8-2 | 2.322049 | -0.6420557 | 5.286154 | 0.1558365 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 514.19 | 2 | 257.09 | 6.65 | 0.002 |
| Residuals | 6145.48 | 159 | 38.65 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.176745 | 0.5581539 | 5.795337 | 0.0128761 |
| 8-1 | 4.551938 | 1.3132205 | 7.790656 | 0.0031331 |
| 8-2 | 1.375193 | -1.7036614 | 4.454047 | 0.5423411 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 767.98 | 2 | 383.99 | 10.67 | < .001 |
| Residuals | 5724.21 | 159 | 36.00 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.581162 | 1.0539173 | 6.108407 | 0.0028626 |
| 8-1 | 5.772860 | 2.6471208 | 8.898599 | 0.0000663 |
| 8-2 | 2.191698 | -0.7797548 | 5.163150 | 0.1918014 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 989.37 | 2 | 494.69 | 12.38 | < .001 |
| Residuals | 6314.03 | 158 | 39.96 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 4.308961 | 1.638395 | 6.979528 | 0.0005637 |
| 8-1 | 6.395990 | 3.102593 | 9.689388 | 0.0000261 |
| 8-2 | 2.087029 | -1.050413 | 5.224471 | 0.2599581 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 834.68 | 2 | 417.34 | 9.79 | < .001 |
| Residuals | 6736.35 | 158 | 42.64 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.944952 | 1.186519 | 6.703386 | 0.0025833 |
| 8-1 | 5.884152 | 2.482394 | 9.285910 | 0.0001996 |
| 8-2 | 1.939200 | -1.301471 | 5.179870 | 0.3352120 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 854.78 | 2 | 427.39 | 9.59 | < .001 |
| Residuals | 6998.03 | 157 | 44.57 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.395902 | 0.5604359 | 6.231368 | 0.0143255 |
| 8-1 | 6.307131 | 2.8166386 | 9.797623 | 0.0000974 |
| 8-2 | 2.911229 | -0.4024883 | 6.224946 | 0.0975533 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 843.12 | 1 | 843.12 | 16.28 | < .001 |
| Residuals | 4349.28 | 84 | 51.78 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 6.438708 | 3.265687 | 9.611729 | 0.0001198 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 966.36 | 1 | 966.36 | 17.47 | < .001 |
| Residuals | 4590.70 | 83 | 55.31 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 6.918628 | 3.626494 | 10.21076 | 7.18e-05 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 881.83 | 1 | 881.83 | 16.28 | < .001 |
| Residuals | 4387.66 | 81 | 54.17 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 6.696864 | 3.394404 | 9.999325 | 0.0001231 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1079.68 | 1 | 1079.68 | 20.13 | < .001 |
| Residuals | 4291.12 | 80 | 53.64 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 7.438654 | 4.139108 | 10.7382 | 2.4e-05 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 759.58 | 1 | 759.58 | 12.15 | < .001 |
| Residuals | 3937.36 | 63 | 62.50 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 6.83773 | 2.918268 | 10.75719 | 0.0008981 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 604.37 | 1 | 604.37 | 9.62 | 0.003 |
| Residuals | 3770.81 | 60 | 62.85 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 6.247564 | 2.217644 | 10.27748 | 0.0029368 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 472.47 | 1 | 472.47 | 8.28 | 0.006 |
| Residuals | 3195.64 | 56 | 57.07 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 5.721866 | 1.738323 | 9.705409 | 0.0056649 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1555.18 | 6 | 259.20 | 22.11 | < .001 |
| Residuals | 3963.20 | 338 | 11.73 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.4386388 | -1.3696248 | 2.2469024 | 0.9913566 |
| 3-1 | -2.7939389 | -4.9535512 | -0.6343265 | 0.0028059 |
| 5-1 | 1.1184541 | -0.9921878 | 3.2290960 | 0.7004593 |
| 6-1 | -2.2641282 | -4.5452639 | 0.0170075 | 0.0532000 |
| 7-1 | -5.4004388 | -7.3749090 | -3.4259686 | 0.0000000 |
| 9-1 | -0.4244932 | -2.3442859 | 1.4952994 | 0.9947599 |
| 3-2 | -3.2325777 | -5.2776509 | -1.1875045 | 0.0000813 |
| 5-2 | 0.6798153 | -1.3134755 | 2.6731061 | 0.9511589 |
| 6-2 | -2.7027670 | -4.8757785 | -0.5297555 | 0.0048460 |
| 7-2 | -5.8390776 | -7.6875721 | -3.9905832 | 0.0000000 |
| 9-2 | -0.8631320 | -2.6531049 | 0.9268408 | 0.7850805 |
| 5-3 | 3.9123930 | 1.5956460 | 6.2291399 | 0.0000182 |
| 6-3 | 0.5298107 | -1.9432617 | 3.0028831 | 0.9955923 |
| 7-3 | -2.6064999 | -4.7999082 | -0.4130917 | 0.0086611 |
| 9-3 | 2.3694456 | 0.2251250 | 4.5137663 | 0.0196434 |
| 6-5 | -3.3825823 | -5.8130084 | -0.9521562 | 0.0009017 |
| 7-5 | -6.5188929 | -8.6641023 | -4.3736834 | 0.0000000 |
| 9-5 | -1.5429473 | -3.6379401 | 0.5520455 | 0.3066354 |
| 7-6 | -3.1363106 | -5.4494675 | -0.8231538 | 0.0013794 |
| 9-6 | 1.8396349 | -0.4270291 | 4.1062990 | 0.1986389 |
| 9-7 | 4.9759456 | 3.0182126 | 6.9336785 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2388.08 | 6 | 398.01 | 31.71 | < .001 |
| Residuals | 4242.40 | 338 | 12.55 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1651730 | -1.7057019 | 2.0360480 | 0.9999732 |
| 3-1 | -1.1532886 | -3.3876778 | 1.0811006 | 0.7259378 |
| 5-1 | 2.5918899 | 0.4081668 | 4.7756131 | 0.0087876 |
| 6-1 | -0.0457822 | -2.4059025 | 2.3143382 | 1.0000000 |
| 7-1 | -6.5120531 | -8.5548896 | -4.4692166 | 0.0000000 |
| 9-1 | 0.8150945 | -1.1711712 | 2.8013603 | 0.8872075 |
| 3-2 | -1.3184617 | -3.4343458 | 0.7974225 | 0.5163292 |
| 5-2 | 2.4267169 | 0.3644081 | 4.4890256 | 0.0097483 |
| 6-2 | -0.2109552 | -2.4592075 | 2.0372972 | 0.9999616 |
| 7-2 | -6.6772261 | -8.5897249 | -4.7647273 | 0.0000000 |
| 9-2 | 0.6499215 | -1.2020295 | 2.5018724 | 0.9440971 |
| 5-3 | 3.7451785 | 1.3482140 | 6.1421431 | 0.0001037 |
| 6-3 | 1.1075065 | -1.4511964 | 3.6662094 | 0.8590427 |
| 7-3 | -5.3587645 | -7.6281198 | -3.0894092 | 0.0000000 |
| 9-3 | 1.9683831 | -0.2501849 | 4.1869511 | 0.1198178 |
| 6-5 | -2.6376721 | -5.1522520 | -0.1230922 | 0.0327966 |
| 7-5 | -9.1039430 | -11.3234306 | -6.8844554 | 0.0000000 |
| 9-5 | -1.7767954 | -3.9443276 | 0.3907368 | 0.1887447 |
| 7-6 | -6.4662709 | -8.8595211 | -4.0730207 | 0.0000000 |
| 9-6 | 0.8608767 | -1.4842709 | 3.2060242 | 0.9311307 |
| 9-7 | 7.3271476 | 5.3016279 | 9.3526673 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3158.08 | 8 | 394.76 | 34.78 | < .001 |
| Residuals | 4358.26 | 384 | 11.35 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.4951625 | -1.3758876 | 2.3662126 | 0.9960576 |
| 3-1 | 0.2237412 | -2.0108572 | 2.4583395 | 0.9999973 |
| 4-1 | 4.4715469 | 2.3590302 | 6.5840636 | 0.0000000 |
| 5-1 | 3.0300447 | 0.8461172 | 5.2139722 | 0.0006436 |
| 6-1 | 0.6243400 | -1.7360012 | 2.9846812 | 0.9960711 |
| 7-1 | -5.8669773 | -7.9100050 | -3.8239496 | 0.0000000 |
| 8-1 | -2.8652660 | -9.0962951 | 3.3657632 | 0.8838760 |
| 9-1 | 1.6484411 | -0.3380105 | 3.6348928 | 0.1947262 |
| 3-2 | -0.2714214 | -2.3875035 | 1.8446608 | 0.9999817 |
| 4-2 | 3.9763844 | 1.9896531 | 5.9631156 | 0.0000000 |
| 5-2 | 2.5348822 | 0.4723804 | 4.5973839 | 0.0046110 |
| 6-2 | 0.1291775 | -2.1192853 | 2.3776402 | 1.0000000 |
| 7-2 | -6.3621398 | -8.2748176 | -4.4494620 | 0.0000000 |
| 8-2 | -3.3604285 | -9.5499437 | 2.8290867 | 0.7502142 |
| 9-2 | 1.1532786 | -0.6988456 | 3.0054029 | 0.5845749 |
| 4-3 | 4.2478057 | 1.9154888 | 6.5801227 | 0.0000009 |
| 5-3 | 2.8063035 | 0.4091146 | 5.2034925 | 0.0089418 |
| 6-3 | 0.4005988 | -2.1583435 | 2.9595412 | 0.9999156 |
| 7-3 | -6.0907185 | -8.3602862 | -3.8211508 | 0.0000000 |
| 8-3 | -3.0890071 | -9.3979452 | 3.2199310 | 0.8421224 |
| 9-3 | 1.4247000 | -0.7940757 | 3.6434757 | 0.5421283 |
| 5-4 | -1.4415022 | -3.7253175 | 0.8423130 | 0.5660113 |
| 6-4 | -3.8472069 | -6.3002628 | -1.3941510 | 0.0000512 |
| 7-4 | -10.3385242 | -12.4879974 | -8.1890511 | 0.0000000 |
| 8-4 | -7.3368129 | -13.6035502 | -1.0700755 | 0.0089328 |
| 9-4 | -2.8231057 | -4.9188784 | -0.7273331 | 0.0010880 |
| 6-5 | -2.4057047 | -4.9205200 | 0.1091106 | 0.0733018 |
| 7-5 | -8.8970220 | -11.1167173 | -6.6773267 | 0.0000000 |
| 8-5 | -5.8953106 | -12.1864798 | 0.3958585 | 0.0864065 |
| 9-5 | -1.3816035 | -3.5493386 | 0.7861315 | 0.5525327 |
| 7-6 | -6.4913173 | -8.8847915 | -4.0978431 | 0.0000000 |
| 8-6 | -3.4896060 | -9.8441697 | 2.8649578 | 0.7382417 |
| 9-6 | 1.0241012 | -1.3212659 | 3.3694682 | 0.9111818 |
| 8-7 | 3.0017114 | -3.2419440 | 9.2453667 | 0.8553170 |
| 9-7 | 7.5154185 | 5.4897092 | 9.5411278 | 0.0000000 |
| 9-8 | 4.5137071 | -1.7116652 | 10.7390794 | 0.3681595 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3621.69 | 8 | 452.71 | 41.19 | < .001 |
| Residuals | 4418.39 | 402 | 10.99 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.9198041 | -0.9209764 | 2.7605846 | 0.8266208 |
| 3-1 | 1.3264039 | -0.8720435 | 3.5248512 | 0.6268353 |
| 4-1 | 5.8892756 | 3.8109349 | 7.9676164 | 0.0000000 |
| 5-1 | 3.3904937 | 1.2418974 | 5.5390899 | 0.0000439 |
| 6-1 | 1.1204297 | -1.2017263 | 3.4425856 | 0.8530036 |
| 7-1 | -5.2450386 | -7.2550145 | -3.2350626 | 0.0000000 |
| 8-1 | -1.7789716 | -4.4312564 | 0.8733132 | 0.4803515 |
| 9-1 | 2.3777621 | 0.4234469 | 4.3320772 | 0.0053093 |
| 3-2 | 0.4065997 | -1.6752488 | 2.4884482 | 0.9995565 |
| 4-2 | 4.9694715 | 3.0148813 | 6.9240617 | 0.0000000 |
| 5-2 | 2.4706895 | 0.4415546 | 4.4998244 | 0.0052523 |
| 6-2 | 0.2006255 | -2.0114620 | 2.4127130 | 0.9999988 |
| 7-2 | -6.1648427 | -8.0465775 | -4.2831079 | 0.0000000 |
| 8-2 | -2.6987757 | -5.2552454 | -0.1423060 | 0.0295795 |
| 9-2 | 1.4579579 | -0.3642029 | 3.2801188 | 0.2372693 |
| 4-3 | 4.5628718 | 2.2682867 | 6.8574568 | 0.0000000 |
| 5-3 | 2.0640898 | -0.2943178 | 4.4224974 | 0.1408223 |
| 6-3 | -0.2059742 | -2.7235184 | 2.3115700 | 0.9999995 |
| 7-3 | -6.5714424 | -8.8042934 | -4.3385914 | 0.0000000 |
| 8-3 | -3.1053755 | -5.9303064 | -0.2804445 | 0.0191121 |
| 9-3 | 1.0513582 | -1.1315224 | 3.2342389 | 0.8542572 |
| 5-4 | -2.4987819 | -4.7456500 | -0.2519139 | 0.0167359 |
| 6-4 | -4.7688460 | -7.1822167 | -2.3554752 | 0.0000001 |
| 7-4 | -11.1343142 | -13.2490135 | -9.0196148 | 0.0000000 |
| 8-4 | -7.6682472 | -10.4007488 | -4.9357456 | 0.0000000 |
| 9-4 | -3.5115135 | -5.5733811 | -1.4496460 | 0.0000064 |
| 6-5 | -2.2700640 | -4.7441950 | 0.2040670 | 0.1014109 |
| 7-5 | -8.6355322 | -10.8193177 | -6.4517468 | 0.0000000 |
| 8-5 | -5.1694653 | -7.9557765 | -2.3831540 | 0.0000005 |
| 9-5 | -1.0127316 | -3.1453974 | 1.1199342 | 0.8639427 |
| 7-6 | -6.3654682 | -8.7202211 | -4.0107153 | 0.0000000 |
| 8-6 | -2.8994013 | -5.8216389 | 0.0228364 | 0.0536621 |
| 9-6 | 1.2573324 | -1.0500916 | 3.5647565 | 0.7467111 |
| 8-7 | 3.4660670 | 0.7851963 | 6.1469377 | 0.0021395 |
| 9-7 | 7.6228006 | 5.6298629 | 9.6157383 | 0.0000000 |
| 9-8 | 4.1567337 | 1.5173375 | 6.7961298 | 0.0000460 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3442.66 | 8 | 430.33 | 37.11 | < .001 |
| Residuals | 4708.51 | 406 | 11.60 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.4346908 | -0.4560767 | 3.3254583 | 0.3055102 |
| 3-1 | 2.0159897 | -0.2421572 | 4.2741366 | 0.1232601 |
| 4-1 | 5.7765166 | 3.6417378 | 7.9112954 | 0.0000000 |
| 5-1 | 3.7020585 | 1.4951164 | 5.9090007 | 0.0000096 |
| 6-1 | 2.6210650 | 0.2358501 | 5.0062799 | 0.0191865 |
| 7-1 | -4.8250105 | -6.8895680 | -2.7604530 | 0.0000000 |
| 8-1 | -0.7769949 | -3.3387294 | 1.7847397 | 0.9901084 |
| 9-1 | 2.7680335 | 0.7606483 | 4.7754187 | 0.0007153 |
| 3-2 | 0.5812989 | -1.5570829 | 2.7196807 | 0.9952721 |
| 4-2 | 4.3418258 | 2.3341581 | 6.3494936 | 0.0000000 |
| 5-2 | 2.2673678 | 0.1831310 | 4.3516045 | 0.0214680 |
| 6-2 | 1.1863742 | -1.0857832 | 3.4585317 | 0.7887722 |
| 7-2 | -6.2597013 | -8.1925352 | -4.3268674 | 0.0000000 |
| 8-2 | -2.2116856 | -4.6684993 | 0.2451280 | 0.1163232 |
| 9-2 | 1.3333427 | -0.5382995 | 3.2049850 | 0.3935454 |
| 4-3 | 3.7605269 | 1.4036316 | 6.1174222 | 0.0000337 |
| 5-3 | 1.6860689 | -0.7363820 | 4.1085198 | 0.4269913 |
| 6-3 | 0.6050753 | -1.9808336 | 3.1909843 | 0.9983481 |
| 7-3 | -6.8410002 | -9.1344850 | -4.5475154 | 0.0000000 |
| 8-3 | -2.7929845 | -5.5425588 | -0.0434103 | 0.0432463 |
| 9-3 | 0.7520438 | -1.4901137 | 2.9942013 | 0.9810419 |
| 5-4 | -2.0744581 | -4.3823405 | 0.2334244 | 0.1175711 |
| 6-4 | -3.1554516 | -5.6343582 | -0.6765449 | 0.0027284 |
| 7-4 | -10.6015271 | -12.7736518 | -8.4294024 | 0.0000000 |
| 8-4 | -6.5535115 | -9.2027023 | -3.9043207 | 0.0000000 |
| 9-4 | -3.0084831 | -5.1263413 | -0.8906249 | 0.0004108 |
| 6-5 | -1.0809935 | -3.6223104 | 1.4603233 | 0.9229836 |
| 7-5 | -8.5270691 | -10.7701559 | -6.2839822 | 0.0000000 |
| 8-5 | -4.4790534 | -7.1867323 | -1.7713745 | 0.0000137 |
| 9-5 | -0.9340250 | -3.1246041 | 1.2565540 | 0.9219820 |
| 7-6 | -7.4460755 | -9.8647726 | -5.0273785 | 0.0000000 |
| 8-6 | -3.3980599 | -6.2529122 | -0.5432076 | 0.0071705 |
| 9-6 | 0.1469685 | -2.2231144 | 2.5170514 | 0.9999999 |
| 8-7 | 4.0480156 | 1.4550773 | 6.6409540 | 0.0000562 |
| 9-7 | 7.5930440 | 5.5459875 | 9.6401006 | 0.0000000 |
| 9-8 | 3.5450284 | 0.9973771 | 6.0926796 | 0.0006060 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3740.21 | 8 | 467.53 | 37.79 | < .001 |
| Residuals | 5146.15 | 416 | 12.37 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.5750734 | -0.3774550 | 3.5276017 | 0.2275336 |
| 3-1 | 2.8086231 | 0.4767151 | 5.1405311 | 0.0061010 |
| 4-1 | 6.0244127 | 3.8199025 | 8.2289229 | 0.0000000 |
| 5-1 | 3.6979196 | 1.4188890 | 5.9769503 | 0.0000222 |
| 6-1 | 3.2431594 | 0.7800328 | 5.7062860 | 0.0015876 |
| 7-1 | -4.9556088 | -7.0876039 | -2.8236137 | 0.0000000 |
| 8-1 | -0.4219460 | -2.7933502 | 1.9494583 | 0.9997790 |
| 9-1 | 2.7533232 | 0.6803678 | 4.8262785 | 0.0013728 |
| 3-2 | 1.2335497 | -0.9746811 | 3.4417806 | 0.7201486 |
| 4-2 | 4.4493393 | 2.3760922 | 6.5225865 | 0.0000000 |
| 5-2 | 2.1228463 | -0.0294709 | 4.2751635 | 0.0565675 |
| 6-2 | 1.6680860 | -0.6782902 | 4.0144623 | 0.3966424 |
| 7-2 | -6.5306822 | -8.5266510 | -4.5347133 | 0.0000000 |
| 8-2 | -1.9970193 | -4.2469186 | 0.2528799 | 0.1282732 |
| 9-2 | 1.1782498 | -0.7545286 | 3.1110282 | 0.6135165 |
| 4-3 | 3.2157896 | 0.7819076 | 5.6496716 | 0.0014988 |
| 5-3 | 0.8892966 | -1.6122824 | 3.3908755 | 0.9728011 |
| 6-3 | 0.4345363 | -2.2358399 | 3.1049125 | 0.9998873 |
| 7-3 | -7.7642319 | -10.1326321 | -5.3958317 | 0.0000000 |
| 8-3 | -3.2305691 | -5.8165842 | -0.6445539 | 0.0036193 |
| 9-3 | -0.0552999 | -2.3706962 | 2.2600964 | 1.0000000 |
| 5-4 | -2.3264931 | -4.7097612 | 0.0567751 | 0.0618821 |
| 6-4 | -2.7812533 | -5.3411321 | -0.2213745 | 0.0217642 |
| 7-4 | -10.9800215 | -13.2230974 | -8.7369456 | 0.0000000 |
| 8-4 | -6.4463587 | -8.9181080 | -3.9746094 | 0.0000000 |
| 9-4 | -3.2710895 | -5.4581264 | -1.0840526 | 0.0001444 |
| 6-5 | -0.4547602 | -3.0790878 | 2.1695673 | 0.9998188 |
| 7-5 | -8.6535284 | -10.9698845 | -6.3371724 | 0.0000000 |
| 8-5 | -4.1198656 | -6.6583022 | -1.5814290 | 0.0000221 |
| 9-5 | -0.9445965 | -3.2067295 | 1.3175366 | 0.9304587 |
| 7-6 | -8.1987682 | -10.6964706 | -5.7010658 | 0.0000000 |
| 8-6 | -3.6651054 | -6.3700402 | -0.9601706 | 0.0009749 |
| 9-6 | -0.4898362 | -2.9373366 | 1.9576641 | 0.9994700 |
| 8-7 | 4.5336628 | 2.1263650 | 6.9409606 | 0.0000003 |
| 9-7 | 7.7089320 | 5.5950094 | 9.8228545 | 0.0000000 |
| 9-8 | 3.1752692 | 0.8200997 | 5.5304387 | 0.0010636 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3741.17 | 8 | 467.65 | 39.05 | < .001 |
| Residuals | 4993.56 | 417 | 11.97 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.7824324 | -0.1385974 | 3.7034623 | 0.0932859 |
| 3-1 | 3.0730803 | 0.7787910 | 5.3673695 | 0.0011898 |
| 4-1 | 6.0606667 | 3.8917200 | 8.2296133 | 0.0000000 |
| 5-1 | 3.4887025 | 1.2464375 | 5.7309675 | 0.0000604 |
| 6-1 | 3.6490999 | 1.2257088 | 6.0724910 | 0.0001250 |
| 7-1 | -4.7856995 | -6.8833010 | -2.6880981 | 0.0000000 |
| 8-1 | 0.2032467 | -2.1100139 | 2.5165074 | 0.9999991 |
| 9-1 | 3.5006037 | 1.4610896 | 5.5401178 | 0.0000051 |
| 3-2 | 1.2906478 | -0.8819595 | 3.4632551 | 0.6469505 |
| 4-2 | 4.2782342 | 2.2384331 | 6.3180354 | 0.0000000 |
| 5-2 | 1.7062701 | -0.4113256 | 3.8238657 | 0.2289151 |
| 6-2 | 1.8666675 | -0.4418566 | 4.1751915 | 0.2247179 |
| 7-2 | -6.5681320 | -8.5319016 | -4.6043624 | 0.0000000 |
| 8-2 | -1.5791857 | -3.7718174 | 0.6134461 | 0.3780824 |
| 9-2 | 1.7181713 | -0.1834272 | 3.6197698 | 0.1133698 |
| 4-3 | 2.9875864 | 0.5929682 | 5.3822046 | 0.0036891 |
| 5-3 | 0.4156222 | -2.0456008 | 2.8768453 | 0.9998509 |
| 6-3 | 0.5760196 | -2.0512777 | 3.2033169 | 0.9989678 |
| 7-3 | -7.8587798 | -10.1889726 | -5.5285870 | 0.0000000 |
| 8-3 | -2.8698335 | -5.3959059 | -0.3437612 | 0.0129870 |
| 9-3 | 0.4275235 | -1.8505205 | 2.7055674 | 0.9996709 |
| 5-4 | -2.5719642 | -4.9167851 | -0.2271433 | 0.0195776 |
| 6-4 | -2.4115668 | -4.9301492 | 0.1070156 | 0.0727725 |
| 7-4 | -10.8463662 | -13.0532565 | -8.6394759 | 0.0000000 |
| 8-4 | -5.8574199 | -8.2702207 | -3.4446191 | 0.0000000 |
| 9-4 | -2.5600629 | -4.7118182 | -0.4083077 | 0.0072053 |
| 6-5 | 0.1603974 | -2.4215941 | 2.7423888 | 0.9999999 |
| 7-5 | -8.2744020 | -10.5533903 | -5.9954138 | 0.0000000 |
| 8-5 | -3.2854558 | -5.7643729 | -0.8065386 | 0.0014230 |
| 9-5 | 0.0119012 | -2.2137388 | 2.2375412 | 1.0000000 |
| 7-6 | -8.4347994 | -10.8922085 | -5.9773903 | 0.0000000 |
| 8-6 | -3.4458531 | -6.0897333 | -0.8019729 | 0.0018753 |
| 9-6 | -0.1484962 | -2.5565131 | 2.2595207 | 0.9999999 |
| 8-7 | 4.9889463 | 2.6400721 | 7.3378205 | 0.0000000 |
| 9-7 | 8.2863033 | 6.2064829 | 10.3661236 | 0.0000000 |
| 9-8 | 3.2973570 | 1.0002074 | 5.5945065 | 0.0003344 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3885.48 | 8 | 485.68 | 48.96 | < .001 |
| Residuals | 4117.15 | 415 | 9.92 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.2807329 | -0.4678349 | 3.0293007 | 0.3542639 |
| 3-1 | 3.1234714 | 0.9997833 | 5.2471594 | 0.0002052 |
| 4-1 | 5.7128110 | 3.7385833 | 7.6870386 | 0.0000000 |
| 5-1 | 3.0594896 | 1.0185258 | 5.1004533 | 0.0001377 |
| 6-1 | 4.6744480 | 2.4686189 | 6.8802771 | 0.0000000 |
| 7-1 | -5.2376744 | -7.1469619 | -3.3283869 | 0.0000000 |
| 8-1 | 0.2075570 | -1.8980287 | 2.3131428 | 0.9999977 |
| 9-1 | 2.7042240 | 0.8478090 | 4.5606390 | 0.0002497 |
| 3-2 | 1.8427385 | -0.1721370 | 3.8576139 | 0.1038711 |
| 4-2 | 4.4320781 | 2.5754018 | 6.2887544 | 0.0000000 |
| 5-2 | 1.7787567 | -0.1487301 | 3.7062434 | 0.0971730 |
| 6-2 | 3.3937151 | 1.2924407 | 5.4949895 | 0.0000249 |
| 7-2 | -6.5184073 | -8.3058778 | -4.7309368 | 0.0000000 |
| 8-2 | -1.0731759 | -3.0689623 | 0.9226106 | 0.7605111 |
| 9-2 | 1.4234911 | -0.3073898 | 3.1543721 | 0.2050231 |
| 4-3 | 2.5893396 | 0.3757885 | 4.8028907 | 0.0090071 |
| 5-3 | -0.0639818 | -2.3372540 | 2.2092904 | 1.0000000 |
| 6-3 | 1.5509766 | -0.8714015 | 3.9733547 | 0.5466755 |
| 7-3 | -8.3611458 | -10.5169779 | -6.2053136 | 0.0000000 |
| 8-3 | -2.9159143 | -5.2473784 | -0.5844502 | 0.0035586 |
| 9-3 | -0.4192473 | -2.5283965 | 1.6899019 | 0.9994959 |
| 5-4 | -2.6533214 | -4.7876341 | -0.5190087 | 0.0038898 |
| 6-4 | -1.0383630 | -3.3308376 | 1.2541116 | 0.8927677 |
| 7-4 | -10.9504854 | -12.9592502 | -8.9417205 | 0.0000000 |
| 8-4 | -5.5052539 | -7.7014436 | -3.3090643 | 0.0000000 |
| 9-4 | -3.0085869 | -4.9671666 | -1.0500073 | 0.0000808 |
| 6-5 | 1.6149584 | -0.7352326 | 3.9651494 | 0.4456218 |
| 7-5 | -8.2971640 | -10.3715541 | -6.2227738 | 0.0000000 |
| 8-5 | -2.8519326 | -5.1083029 | -0.5955622 | 0.0030363 |
| 9-5 | -0.3552655 | -2.3810968 | 1.6705658 | 0.9998018 |
| 7-6 | -9.9121224 | -12.1489155 | -7.6753292 | 0.0000000 |
| 8-6 | -4.4668909 | -6.8734146 | -2.0603673 | 0.0000005 |
| 9-6 | -1.9702239 | -4.1620591 | 0.2216112 | 0.1175650 |
| 8-7 | 5.4452314 | 3.3072294 | 7.5832335 | 0.0000000 |
| 9-7 | 7.9418984 | 6.0487957 | 9.8350012 | 0.0000000 |
| 9-8 | 2.4966670 | 0.4057460 | 4.5875880 | 0.0068655 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3444.00 | 7 | 492.00 | 43.32 | < .001 |
| Residuals | 4292.79 | 378 | 11.36 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.7840772 | -0.0445944 | 3.6127489 | 0.0616839 |
| 4-1 | 5.8825397 | 3.8178705 | 7.9472089 | 0.0000000 |
| 5-1 | 3.4552961 | 1.3208335 | 5.5897586 | 0.0000330 |
| 6-1 | 4.3563931 | 2.0250534 | 6.6877329 | 0.0000007 |
| 7-1 | -4.6822250 | -6.7000122 | -2.6644378 | 0.0000000 |
| 8-1 | 0.3625663 | -1.8394787 | 2.5646112 | 0.9996492 |
| 9-1 | 3.0562560 | 1.1147966 | 4.9977154 | 0.0000627 |
| 4-2 | 4.0984625 | 2.1567298 | 6.0401951 | 0.0000000 |
| 5-2 | 1.6712189 | -0.3445682 | 3.6870059 | 0.1873015 |
| 6-2 | 2.5723159 | 0.3491173 | 4.7955145 | 0.0110422 |
| 7-2 | -6.4663022 | -8.3581088 | -4.5744956 | 0.0000000 |
| 8-2 | -1.4215109 | -3.5087265 | 0.6657046 | 0.4325370 |
| 9-2 | 1.2721788 | -0.5379957 | 3.0823533 | 0.3898328 |
| 5-4 | -2.4272436 | -4.6593315 | -0.1951557 | 0.0222853 |
| 6-4 | -1.5261465 | -3.9471858 | 0.8948927 | 0.5370390 |
| 7-4 | -10.5647646 | -12.6855548 | -8.4439744 | 0.0000000 |
| 8-4 | -5.5199734 | -7.8167729 | -3.2231739 | 0.0000000 |
| 9-4 | -2.8262837 | -4.8745880 | -0.7779793 | 0.0008462 |
| 6-5 | 0.9010971 | -1.5797299 | 3.3819240 | 0.9550715 |
| 7-5 | -8.1375210 | -10.3263158 | -5.9487262 | 0.0000000 |
| 8-5 | -3.0927298 | -5.4524669 | -0.7329927 | 0.0019751 |
| 9-5 | -0.3990400 | -2.5176769 | 1.7195968 | 0.9991503 |
| 7-6 | -9.0386181 | -11.4198021 | -6.6574341 | 0.0000000 |
| 8-6 | -3.9938269 | -6.5330342 | -1.4546195 | 0.0000639 |
| 9-6 | -1.3001371 | -3.6169964 | 1.0167221 | 0.6805027 |
| 8-7 | 5.0447912 | 2.7900420 | 7.2995405 | 0.0000000 |
| 9-7 | 7.7384810 | 5.7374420 | 9.7395199 | 0.0000000 |
| 9-8 | 2.6936897 | 0.5069813 | 4.8803982 | 0.0049131 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3377.74 | 6 | 562.96 | 49.48 | < .001 |
| Residuals | 3629.66 | 319 | 11.38 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.6025897 | -0.1793428 | 3.3845222 | 0.1097490 |
| 4-1 | 5.6238990 | 3.6120008 | 7.6357972 | 0.0000000 |
| 5-1 | 3.4843170 | 1.4044093 | 5.5642248 | 0.0000224 |
| 6-1 | 4.1188292 | 1.8470763 | 6.3905822 | 0.0000030 |
| 7-1 | -5.1914413 | -7.1912756 | -3.1916069 | 0.0000000 |
| 8-1 | -0.1168303 | -2.2625931 | 2.0289324 | 0.9999985 |
| 4-2 | 4.0213093 | 2.1292055 | 5.9134132 | 0.0000000 |
| 5-2 | 1.8817274 | -0.0825381 | 3.8459928 | 0.0703603 |
| 6-2 | 2.5162396 | 0.3498638 | 4.6826153 | 0.0113757 |
| 7-2 | -6.7940309 | -8.6733021 | -4.9147598 | 0.0000000 |
| 8-2 | -1.7194200 | -3.7532884 | 0.3144483 | 0.1596780 |
| 5-4 | -2.1395819 | -4.3146198 | 0.0354559 | 0.0572127 |
| 6-4 | -1.5050697 | -3.8642295 | 0.8540900 | 0.4864515 |
| 7-4 | -10.8153402 | -12.9139376 | -8.7167429 | 0.0000000 |
| 8-4 | -5.7407293 | -7.9788248 | -3.5026339 | 0.0000000 |
| 6-5 | 0.6345122 | -1.7829072 | 3.0519316 | 0.9868434 |
| 7-5 | -8.6757583 | -10.8396420 | -6.5118746 | 0.0000000 |
| 8-5 | -3.6011474 | -5.9005719 | -1.3017229 | 0.0001001 |
| 7-6 | -9.3102705 | -11.6591507 | -6.9613904 | 0.0000000 |
| 8-6 | -4.2356596 | -6.7099672 | -1.7613519 | 0.0000133 |
| 8-7 | 5.0746109 | 2.8473538 | 7.3018681 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2693.67 | 5 | 538.73 | 44.15 | < .001 |
| Residuals | 3502.29 | 287 | 12.20 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.1488052 | -0.6355239 | 2.9331343 | 0.4371827 |
| 4-1 | 4.9752496 | 2.9606455 | 6.9898537 | 0.0000000 |
| 5-1 | 2.6961552 | 0.6134501 | 4.7788603 | 0.0033161 |
| 7-1 | -5.4980151 | -7.5382247 | -3.4578056 | 0.0000000 |
| 8-1 | -0.0547278 | -2.2033765 | 2.0939209 | 0.9999997 |
| 4-2 | 3.8264444 | 1.9317958 | 5.7210931 | 0.0000003 |
| 5-2 | 1.5473500 | -0.4195573 | 3.5142573 | 0.2153823 |
| 7-2 | -6.6468203 | -8.5686733 | -4.7249674 | 0.0000000 |
| 8-2 | -1.2035330 | -3.2401368 | 0.8330708 | 0.5358900 |
| 5-4 | -2.2790944 | -4.4570576 | -0.1011313 | 0.0342957 |
| 7-4 | -10.4732648 | -12.6106272 | -8.3359024 | 0.0000000 |
| 8-4 | -5.0299775 | -7.2710830 | -2.7888719 | 0.0000000 |
| 7-5 | -8.1941703 | -10.3958399 | -5.9925008 | 0.0000000 |
| 8-5 | -2.7508830 | -5.0534001 | -0.4483659 | 0.0090365 |
| 8-7 | 5.4432873 | 3.1791363 | 7.7074383 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2391.68 | 5 | 478.34 | 37.73 | < .001 |
| Residuals | 3587.92 | 283 | 12.68 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.2131386 | -0.6057666 | 3.0320439 | 0.3958593 |
| 4-1 | 4.6983579 | 2.6447155 | 6.7520003 | 0.0000000 |
| 5-1 | 2.7075118 | 0.5844487 | 4.8305748 | 0.0040528 |
| 7-1 | -5.4298120 | -7.5685752 | -3.2910488 | 0.0000000 |
| 8-1 | 0.6123905 | -1.5778940 | 2.8026750 | 0.9669437 |
| 4-2 | 3.4852192 | 1.5538567 | 5.4165817 | 0.0000063 |
| 5-2 | 1.4943731 | -0.5106482 | 3.4993944 | 0.2705739 |
| 7-2 | -6.6429506 | -8.6645891 | -4.6213122 | 0.0000000 |
| 8-2 | -0.6007481 | -2.6768165 | 1.4753203 | 0.9617013 |
| 5-4 | -1.9908461 | -4.2110131 | 0.2293209 | 0.1073938 |
| 7-4 | -10.1281699 | -12.3633550 | -7.8929847 | 0.0000000 |
| 8-4 | -4.0859673 | -6.3705003 | -1.8014344 | 0.0000079 |
| 7-5 | -8.1373238 | -10.4364545 | -5.8381930 | 0.0000000 |
| 8-5 | -2.0951212 | -4.4422557 | 0.2520133 | 0.1104475 |
| 8-7 | 6.0422025 | 3.6808572 | 8.4035479 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2136.90 | 5 | 427.38 | 34.48 | < .001 |
| Residuals | 3482.75 | 281 | 12.39 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.8202253 | 0.0217241 | 3.6187266 | 0.0454187 |
| 4-1 | 5.0626638 | 3.0320586 | 7.0932689 | 0.0000000 |
| 5-1 | 2.9357366 | 0.8364895 | 5.0349836 | 0.0010767 |
| 7-1 | -4.5808870 | -6.7288401 | -2.4329339 | 0.0000000 |
| 8-1 | 1.0448255 | -1.1208889 | 3.2105399 | 0.7364483 |
| 4-2 | 3.2424384 | 1.3327415 | 5.1521354 | 0.0000271 |
| 5-2 | 1.1155112 | -0.8670183 | 3.0980407 | 0.5895927 |
| 7-2 | -6.4011123 | -8.4351447 | -4.3670800 | 0.0000000 |
| 8-2 | -0.7753998 | -2.8281794 | 1.2773798 | 0.8875375 |
| 5-4 | -2.1269272 | -4.3221889 | 0.0683344 | 0.0636439 |
| 7-4 | -9.6435508 | -11.8854335 | -7.4016680 | 0.0000000 |
| 8-4 | -4.0178382 | -6.2767439 | -1.7589326 | 0.0000091 |
| 7-5 | -7.5166236 | -9.8208629 | -5.2123842 | 0.0000000 |
| 8-5 | -1.8909110 | -4.2117159 | 0.4298939 | 0.1824823 |
| 8-7 | 5.6257125 | 3.2607601 | 7.9906649 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2274.11 | 5 | 454.82 | 35.00 | < .001 |
| Residuals | 3652.07 | 281 | 13.00 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.8145349 | -0.0271657 | 3.6562356 | 0.0561208 |
| 4-1 | 5.0294719 | 2.9500922 | 7.1088515 | 0.0000000 |
| 5-1 | 3.4078177 | 1.2581474 | 5.5574880 | 0.0001165 |
| 7-1 | -4.7488311 | -6.9483773 | -2.5492848 | 0.0000000 |
| 8-1 | 1.6484716 | -0.5692626 | 3.8662058 | 0.2734200 |
| 4-2 | 3.2149369 | 1.2593697 | 5.1705042 | 0.0000551 |
| 5-2 | 1.5932828 | -0.4368664 | 3.6234320 | 0.2176493 |
| 7-2 | -6.5633660 | -8.6462552 | -4.4804769 | 0.0000000 |
| 8-2 | -0.1660634 | -2.2681500 | 1.9360233 | 0.9999175 |
| 5-4 | -1.6216542 | -3.8696453 | 0.6263370 | 0.3061123 |
| 7-4 | -9.7783030 | -12.0740350 | -7.4825709 | 0.0000000 |
| 8-4 | -3.3810003 | -5.6941641 | -1.0678365 | 0.0005219 |
| 7-5 | -8.1566488 | -10.5162352 | -5.7970623 | 0.0000000 |
| 8-5 | -1.7593461 | -4.1358960 | 0.6172038 | 0.2777916 |
| 8-7 | 6.3973027 | 3.9755449 | 8.8190605 | 0.0000000 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 717.01 | 4 | 179.25 | 14.44 | < .001 |
| Residuals | 3042.00 | 245 | 12.42 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.7484598 | 0.0244375 | 3.4724821 | 0.0450075 |
| 4-1 | 4.9859913 | 3.0394769 | 6.9325057 | 0.0000000 |
| 5-1 | 3.3947897 | 1.3824760 | 5.4071034 | 0.0000564 |
| 8-1 | 1.2848383 | -0.7911903 | 3.3608668 | 0.4353283 |
| 4-2 | 3.2375315 | 1.4069183 | 5.0681447 | 0.0000206 |
| 5-2 | 1.6463299 | -0.2540998 | 3.5467595 | 0.1240693 |
| 8-2 | -0.4636215 | -2.4313921 | 1.5041490 | 0.9669833 |
| 5-4 | -1.5912017 | -3.6955539 | 0.5131506 | 0.2329356 |
| 8-4 | -3.7011531 | -5.8665136 | -1.5357925 | 0.0000430 |
| 8-5 | -2.1099514 | -4.3346479 | 0.1147451 | 0.0722907 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 659.62 | 4 | 164.91 | 12.57 | < .001 |
| Residuals | 3213.66 | 245 | 13.12 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.6941179 | -0.0778800 | 3.4661159 | 0.0685514 |
| 4-1 | 4.8815354 | 2.8808538 | 6.8822169 | 0.0000000 |
| 5-1 | 2.6914234 | 0.6231115 | 4.7597353 | 0.0038159 |
| 8-1 | 0.9371752 | -1.1966246 | 3.0709750 | 0.7473321 |
| 4-2 | 3.1874174 | 1.3058624 | 5.0689725 | 0.0000518 |
| 5-2 | 0.9973055 | -0.9560088 | 2.9506198 | 0.6262262 |
| 8-2 | -0.7569428 | -2.7794719 | 1.2655864 | 0.8419806 |
| 5-4 | -2.1901119 | -4.3530236 | -0.0272003 | 0.0455485 |
| 8-4 | -3.9443602 | -6.1699779 | -1.7187425 | 0.0000196 |
| 8-5 | -1.7542482 | -4.0408530 | 0.5323566 | 0.2197905 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 610.42 | 4 | 152.60 | 12.10 | < .001 |
| Residuals | 3089.51 | 245 | 12.61 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.4325892 | -0.3048441 | 3.1700225 | 0.1595922 |
| 4-1 | 4.2956943 | 2.3340382 | 6.2573505 | 0.0000001 |
| 5-1 | 3.0850180 | 1.0570506 | 5.1129853 | 0.0003874 |
| 8-1 | 0.3393979 | -1.7527800 | 2.4315757 | 0.9917826 |
| 4-2 | 2.8631051 | 1.0182517 | 4.7079585 | 0.0002746 |
| 5-2 | 1.6524287 | -0.2627842 | 3.5676416 | 0.1267937 |
| 8-2 | -1.0931914 | -3.0762691 | 0.8898863 | 0.5537376 |
| 5-4 | -1.2106764 | -3.3313982 | 0.9100454 | 0.5188128 |
| 8-4 | -3.9562965 | -6.1385012 | -1.7740918 | 0.0000117 |
| 8-5 | -2.7456201 | -4.9876223 | -0.5036179 | 0.0078322 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 542.41 | 4 | 135.60 | 9.59 | < .001 |
| Residuals | 3462.98 | 245 | 14.13 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.2857247 | -0.5537254 | 3.1251749 | 0.3089797 |
| 4-1 | 4.2072503 | 2.1304116 | 6.2840890 | 0.0000007 |
| 5-1 | 2.4461083 | 0.2990649 | 4.5931518 | 0.0165832 |
| 8-1 | 0.3097095 | -1.9053146 | 2.5247337 | 0.9953551 |
| 4-2 | 2.9215255 | 0.9683479 | 4.8747031 | 0.0005131 |
| 5-2 | 1.1603836 | -0.8672849 | 3.1880520 | 0.5163397 |
| 8-2 | -0.9760152 | -3.0755332 | 1.1235028 | 0.7052571 |
| 5-4 | -1.7611419 | -4.0063861 | 0.4841022 | 0.2003107 |
| 8-4 | -3.8975407 | -6.2078779 | -1.5872035 | 0.0000564 |
| 8-5 | -2.1363988 | -4.5100446 | 0.2372471 | 0.1000765 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 352.50 | 3 | 117.50 | 7.01 | < .001 |
| Residuals | 3367.13 | 201 | 16.75 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.7530965 | -0.1346296 | 3.6408226 | 0.0792029 |
| 5-1 | 2.0594694 | -0.1439228 | 4.2628615 | 0.0763012 |
| 8-1 | -1.4776344 | -3.7507914 | 0.7955226 | 0.3348049 |
| 5-2 | 0.3063728 | -1.7745113 | 2.3872570 | 0.9810653 |
| 8-2 | -3.2307309 | -5.3853503 | -1.0761115 | 0.0007969 |
| 8-5 | -3.5371038 | -5.9730454 | -1.1011621 | 0.0012579 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 342.47 | 3 | 114.16 | 7.74 | < .001 |
| Residuals | 2965.44 | 201 | 14.75 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.5693202 | 0.7977711 | 4.3408692 | 0.0012786 |
| 5-1 | 2.5169071 | 0.4491192 | 4.5846950 | 0.0099821 |
| 8-1 | -0.1238442 | -2.2571034 | 2.0094150 | 0.9987841 |
| 5-2 | -0.0524130 | -2.0052325 | 1.9004064 | 0.9998790 |
| 8-2 | -2.6931643 | -4.7151812 | -0.6711475 | 0.0037793 |
| 8-5 | -2.6407513 | -4.9267768 | -0.3547258 | 0.0163157 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 205.78 | 3 | 68.59 | 5.29 | 0.002 |
| Residuals | 2605.91 | 201 | 12.96 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.7139256 | 0.0532347 | 3.3746165 | 0.0401987 |
| 5-1 | 1.1563063 | -0.7820857 | 3.0946984 | 0.4124364 |
| 8-1 | -0.9200465 | -2.9198129 | 1.0797199 | 0.6326743 |
| 5-2 | -0.5576193 | -2.3882373 | 1.2729988 | 0.8593337 |
| 8-2 | -2.6339721 | -4.5294573 | -0.7384869 | 0.0022516 |
| 8-5 | -2.0763528 | -4.2193259 | 0.0666202 | 0.0613681 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 122.44 | 2 | 61.22 | 4.71 | 0.010 |
| Residuals | 2093.88 | 161 | 13.01 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.5077599 | -0.0110384 | 3.0265582 | 0.0521549 |
| 8-1 | -0.4923205 | -2.3369465 | 1.3523055 | 0.8030924 |
| 8-2 | -2.0000804 | -3.7501923 | -0.2499685 | 0.0206518 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 247.74 | 2 | 123.87 | 9.03 | < .001 |
| Residuals | 2180.46 | 159 | 13.71 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6592439 | 1.099462 | 4.2190261 | 0.0002500 |
| 8-1 | 0.5573332 | -1.371832 | 2.4864980 | 0.7734516 |
| 8-2 | -2.1019107 | -3.935852 | -0.2679697 | 0.0202167 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 348.41 | 2 | 174.20 | 13.59 | < .001 |
| Residuals | 2037.55 | 159 | 12.81 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 3.251735 | 1.7439341 | 4.7595366 | 0.0000028 |
| 8-1 | 1.114875 | -0.7499989 | 2.9797488 | 0.3359255 |
| 8-2 | -2.136860 | -3.9096838 | -0.3640369 | 0.0135861 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 187.60 | 2 | 93.80 | 8.42 | < .001 |
| Residuals | 1771.28 | 159 | 11.14 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.0431176 | 0.6372856 | 3.4489495 | 0.0021469 |
| 8-1 | -0.2865323 | -2.0252889 | 1.4522243 | 0.9196776 |
| 8-2 | -2.3296499 | -3.9825813 | -0.6767185 | 0.0030385 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 239.96 | 2 | 119.98 | 10.34 | < .001 |
| Residuals | 1844.93 | 159 | 11.60 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6709540 | 1.2361945 | 4.1057136 | 0.0000575 |
| 8-1 | 0.7796968 | -0.9948379 | 2.5542315 | 0.5531067 |
| 8-2 | -1.8912572 | -3.5782007 | -0.2043138 | 0.0237860 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 194.67 | 2 | 97.33 | 9.92 | < .001 |
| Residuals | 1560.76 | 159 | 9.82 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.2693338 | 0.9496875 | 3.588980 | 0.0002185 |
| 8-1 | 0.1950148 | -1.4371459 | 1.827175 | 0.9569196 |
| 8-2 | -2.0743190 | -3.6259161 | -0.522722 | 0.0052900 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 252.26 | 2 | 126.13 | 11.37 | < .001 |
| Residuals | 1763.75 | 159 | 11.09 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.3849702 | 0.9821283 | 3.787812 | 0.0002610 |
| 8-1 | -0.2962779 | -2.0313362 | 1.438780 | 0.9140215 |
| 8-2 | -2.6812481 | -4.3306637 | -1.031832 | 0.0005067 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 191.31 | 2 | 95.65 | 9.18 | < .001 |
| Residuals | 1655.88 | 159 | 10.41 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.4093057 | 1.0500389 | 3.7685726 | 0.0001341 |
| 8-1 | 0.8246694 | -0.8564946 | 2.5058335 | 0.4785242 |
| 8-2 | -1.5846363 | -3.1828179 | 0.0135453 | 0.0525199 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 267.02 | 2 | 133.51 | 12.26 | < .001 |
| Residuals | 1731.82 | 159 | 10.89 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6988171 | 1.308733 | 4.0889014 | 0.0000262 |
| 8-1 | 0.3580401 | -1.361239 | 2.0773197 | 0.8748953 |
| 8-2 | -2.3407771 | -3.975193 | -0.7063613 | 0.0025404 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 194.14 | 2 | 97.07 | 10.23 | < .001 |
| Residuals | 1509.40 | 159 | 9.49 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.2181551 | 0.9204022 | 3.5159080 | 0.0002403 |
| 8-1 | 0.0555941 | -1.5494884 | 1.6606767 | 0.9963048 |
| 8-2 | -2.1625610 | -3.6884166 | -0.6367055 | 0.0028569 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 179.33 | 2 | 89.66 | 8.19 | < .001 |
| Residuals | 1741.05 | 159 | 10.95 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.0800183 | 0.6862368 | 3.4737997 | 0.0015653 |
| 8-1 | -0.0833907 | -1.8072429 | 1.6404616 | 0.9928050 |
| 8-2 | -2.1634089 | -3.8021717 | -0.5246462 | 0.0059919 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 228.91 | 2 | 114.45 | 12.17 | < .001 |
| Residuals | 1486.24 | 158 | 9.41 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.6497193 | 1.3540466 | 3.9453920 | 0.0000092 |
| 8-1 | 0.9361127 | -0.6617377 | 2.5339632 | 0.3505878 |
| 8-2 | -1.7136065 | -3.2357922 | -0.1914208 | 0.0230872 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 168.86 | 2 | 84.43 | 8.10 | < .001 |
| Residuals | 1647.79 | 158 | 10.43 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.0817196 | 0.7174456 | 3.4459936 | 0.0011881 |
| 8-1 | 0.0668609 | -1.6155901 | 1.7493118 | 0.9951379 |
| 8-2 | -2.0148587 | -3.6176388 | -0.4120787 | 0.0094691 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 194.12 | 2 | 97.06 | 8.94 | < .001 |
| Residuals | 1714.87 | 158 | 10.85 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 2.1148860 | 0.7231223 | 3.5066496 | 0.0012520 |
| 8-1 | -0.2261492 | -1.9425009 | 1.4902026 | 0.9478557 |
| 8-2 | -2.3410351 | -3.9761106 | -0.7059596 | 0.0025505 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 118.82 | 2 | 59.41 | 4.64 | 0.011 |
| Residuals | 2008.24 | 157 | 12.79 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 1.6843299 | 0.1653771 | 3.2032828 | 0.0257321 |
| 8-1 | -0.1156115 | -1.9854604 | 1.7542374 | 0.9882707 |
| 8-2 | -1.7999414 | -3.5750923 | -0.0247905 | 0.0460723 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.49 | 1 | 1.49 | 0.14 | 0.706 |
| Residuals | 873.80 | 84 | 10.40 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.270507 | -1.692742 | 1.151728 | 0.7062134 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.65 | 1 | 1.65 | 0.15 | 0.697 |
| Residuals | 898.27 | 83 | 10.82 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.2857376 | -1.742008 | 1.170532 | 0.6973458 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 10.00 | 1 | 10.00 | 1.08 | 0.303 |
| Residuals | 752.45 | 81 | 9.29 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.7131589 | -2.080764 | 0.6544464 | 0.3025658 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.04 | 1 | 0.04 | 3.60e-03 | 0.952 |
| Residuals | 827.16 | 80 | 10.34 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.0436836 | -1.404966 | 1.492333 | 0.9522975 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 4.02 | 1 | 4.02 | 0.36 | 0.551 |
| Residuals | 705.28 | 63 | 11.19 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.4975069 | -2.156353 | 1.16134 | 0.5511055 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 5.98 | 1 | 5.98 | 0.69 | 0.411 |
| Residuals | 522.96 | 60 | 8.72 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.6212041 | -2.121977 | 0.8795686 | 0.4109693 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 10.93 | 1 | 10.93 | 1.14 | 0.289 |
| Residuals | 534.91 | 56 | 9.55 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | -0.8701893 | -2.499976 | 0.7595969 | 0.2893938 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 122.95 | 6 | 20.49 | 25.26 | < .001 |
| Residuals | 225.56 | 278 | 0.81 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.5688962 | -1.0451906 | -0.0926018 | 0.0082050 |
| 3-1 | 1.5846680 | 1.0061941 | 2.1631418 | 0.0000000 |
| 5-1 | -0.0084235 | -0.5643640 | 0.5475169 | 1.0000000 |
| 6-1 | 0.0671543 | -0.5400647 | 0.6743732 | 0.9998980 |
| 7-1 | 0.0604691 | -1.0897637 | 1.2107020 | 0.9999988 |
| 9-1 | 0.6255523 | 0.0877901 | 1.1633144 | 0.0112316 |
| 3-2 | 2.1535642 | 1.6047299 | 2.7023984 | 0.0000000 |
| 5-2 | 0.5604727 | 0.0354423 | 1.0855030 | 0.0278342 |
| 6-2 | 0.6360505 | 0.0569979 | 1.2151031 | 0.0209622 |
| 7-2 | 0.6293653 | -0.5062502 | 1.7649809 | 0.6524975 |
| 9-2 | 1.1944485 | 0.6887063 | 1.7001907 | 0.0000000 |
| 5-3 | -1.5930915 | -2.2123107 | -0.9738722 | 0.0000000 |
| 6-3 | -1.5175137 | -2.1831544 | -0.8518730 | 0.0000000 |
| 7-3 | -1.5241988 | -2.7063148 | -0.3420828 | 0.0029888 |
| 9-3 | -0.9591157 | -1.5620674 | -0.3561639 | 0.0000746 |
| 6-5 | 0.0755778 | -0.5705765 | 0.7217321 | 0.9998584 |
| 7-5 | 0.0688927 | -1.1023614 | 1.2401468 | 0.9999976 |
| 9-5 | 0.6339758 | 0.0526079 | 1.2153437 | 0.0225658 |
| 7-6 | -0.0066851 | -1.2031304 | 1.1897601 | 1.0000000 |
| 9-6 | 0.5583980 | -0.0721840 | 1.1889800 | 0.1210010 |
| 9-7 | 0.5650831 | -0.5976526 | 1.7278189 | 0.7776320 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 37.78 | 5 | 7.56 | 17.07 | < .001 |
| Residuals | 124.82 | 282 | 0.44 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0783269 | -0.4181943 | 0.2615404 | 0.9859297 |
| 3-1 | 0.9866446 | 0.5738656 | 1.3994237 | 0.0000000 |
| 5-1 | 0.0851852 | -0.3115149 | 0.4818852 | 0.9898017 |
| 6-1 | 0.1257901 | -0.3029546 | 0.5545348 | 0.9593808 |
| 9-1 | 0.5836536 | 0.2161985 | 0.9511088 | 0.0001119 |
| 3-2 | 1.0649716 | 0.6733423 | 1.4566008 | 0.0000000 |
| 5-2 | 0.1635121 | -0.2111315 | 0.5381557 | 0.8104095 |
| 6-2 | 0.2041170 | -0.2043055 | 0.6125396 | 0.7062084 |
| 9-2 | 0.6619806 | 0.3184544 | 1.0055068 | 0.0000011 |
| 5-3 | -0.9014595 | -1.3433131 | -0.4596059 | 0.0000002 |
| 6-3 | -0.8608546 | -1.3316897 | -0.3900194 | 0.0000045 |
| 9-3 | -0.4029910 | -0.8187878 | 0.0128058 | 0.0634853 |
| 6-5 | 0.0406049 | -0.4161993 | 0.4974091 | 0.9998524 |
| 9-5 | 0.4984685 | 0.0986293 | 0.8983076 | 0.0054231 |
| 9-6 | 0.4578636 | 0.0262127 | 0.8895144 | 0.0304208 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 15.11 | 7 | 2.16 | 13.16 | < .001 |
| Residuals | 54.27 | 331 | 0.16 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0190678 | -0.2389671 | 0.2008315 | 0.9999955 |
| 3-1 | 0.5489440 | 0.2863179 | 0.8115701 | 0.0000000 |
| 4-1 | -0.0922294 | -0.3405076 | 0.1560488 | 0.9491103 |
| 5-1 | 0.0841077 | -0.1725632 | 0.3407786 | 0.9742932 |
| 6-1 | 0.1363428 | -0.1410615 | 0.4137471 | 0.8075459 |
| 8-1 | 0.3146542 | -0.5744799 | 1.2037883 | 0.9607119 |
| 9-1 | 0.3880315 | 0.1524941 | 0.6235688 | 0.0000225 |
| 3-2 | 0.5680118 | 0.3193146 | 0.8167090 | 0.0000000 |
| 4-2 | -0.0731616 | -0.3066566 | 0.1603334 | 0.9800617 |
| 5-2 | 0.1031756 | -0.1392245 | 0.3455756 | 0.8990764 |
| 6-2 | 0.1554107 | -0.1088449 | 0.4196662 | 0.6246359 |
| 8-2 | 0.3337220 | -0.5513979 | 1.2188420 | 0.9449932 |
| 9-2 | 0.4070993 | 0.1872000 | 0.6269986 | 0.0000010 |
| 4-3 | -0.6411734 | -0.9152841 | -0.3670627 | 0.0000000 |
| 5-3 | -0.4648362 | -0.7465712 | -0.1831013 | 0.0000217 |
| 6-3 | -0.4126011 | -0.7133465 | -0.1118558 | 0.0009478 |
| 8-3 | -0.2342897 | -1.1309804 | 0.6624009 | 0.9932005 |
| 9-3 | -0.1609125 | -0.4235386 | 0.1017136 | 0.5732357 |
| 5-4 | 0.1763371 | -0.0920733 | 0.4447476 | 0.4806941 |
| 6-4 | 0.2285722 | -0.0597286 | 0.5168731 | 0.2358513 |
| 8-4 | 0.4068836 | -0.4857101 | 1.2994774 | 0.8612095 |
| 9-4 | 0.4802609 | 0.2319827 | 0.7285391 | 0.0000002 |
| 6-5 | 0.0522351 | -0.2433241 | 0.3477943 | 0.9994355 |
| 8-5 | 0.2305465 | -0.6644181 | 1.1255110 | 0.9937647 |
| 9-5 | 0.3039237 | 0.0472528 | 0.5605946 | 0.0083336 |
| 8-6 | 0.1783114 | -0.7228183 | 1.0794411 | 0.9988199 |
| 9-6 | 0.2516886 | -0.0257157 | 0.5290930 | 0.1068621 |
| 9-8 | 0.0733772 | -0.8157568 | 0.9625113 | 0.9999968 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 10.28 | 7 | 1.47 | 7.69 | < .001 |
| Residuals | 66.27 | 347 | 0.19 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0643986 | -0.3016641 | 0.1728669 | 0.9914573 |
| 3-1 | 0.4329770 | 0.1472672 | 0.7186868 | 0.0001446 |
| 4-1 | -0.1097013 | -0.3775869 | 0.1581843 | 0.9165018 |
| 5-1 | 0.0348237 | -0.2421174 | 0.3117649 | 0.9999423 |
| 6-1 | 0.1920941 | -0.1072179 | 0.4914060 | 0.5125531 |
| 8-1 | 0.2688451 | -0.0730185 | 0.6107087 | 0.2454916 |
| 9-1 | 0.2225824 | -0.0339425 | 0.4791074 | 0.1433146 |
| 3-2 | 0.4973756 | 0.2265647 | 0.7681866 | 0.0000012 |
| 4-2 | -0.0453027 | -0.2972376 | 0.2066322 | 0.9993694 |
| 5-2 | 0.0992223 | -0.1623210 | 0.3607656 | 0.9433100 |
| 6-2 | 0.2564927 | -0.0286321 | 0.5416175 | 0.1133687 |
| 8-2 | 0.3332437 | 0.0037301 | 0.6627573 | 0.0452566 |
| 9-2 | 0.2869810 | 0.0471612 | 0.5268008 | 0.0072668 |
| 4-3 | -0.5426783 | -0.8406823 | -0.2446744 | 0.0000015 |
| 5-3 | -0.3981533 | -0.7043233 | -0.0919834 | 0.0022442 |
| 6-3 | -0.2408829 | -0.5674274 | 0.0856615 | 0.3249909 |
| 8-3 | -0.1641319 | -0.5300750 | 0.2018111 | 0.8712628 |
| 9-3 | -0.2103946 | -0.4982291 | 0.0774399 | 0.3369385 |
| 5-4 | 0.1445250 | -0.1450828 | 0.4341328 | 0.7953147 |
| 6-4 | 0.3017954 | -0.0092736 | 0.6128644 | 0.0645532 |
| 8-4 | 0.3785464 | 0.0263434 | 0.7307494 | 0.0252026 |
| 9-4 | 0.3322837 | 0.0621332 | 0.6024343 | 0.0050381 |
| 6-5 | 0.1572704 | -0.1616302 | 0.4761710 | 0.8050801 |
| 8-5 | 0.2340214 | -0.1251174 | 0.5931601 | 0.4920868 |
| 9-5 | 0.1877587 | -0.0913739 | 0.4668913 | 0.4489403 |
| 8-6 | 0.0767510 | -0.2999079 | 0.4534099 | 0.9985778 |
| 9-6 | 0.0304883 | -0.2708524 | 0.3318291 | 0.9999869 |
| 9-8 | -0.0462627 | -0.3899039 | 0.2973786 | 0.9999084 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 12.61 | 8 | 1.58 | 9.00 | < .001 |
| Residuals | 65.21 | 372 | 0.18 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0746854 | -0.3072517 | 0.1578809 | 0.9855717 |
| 3-1 | 0.5156827 | 0.2379283 | 0.7934370 | 0.0000005 |
| 4-1 | -0.0829098 | -0.3454897 | 0.1796701 | 0.9870670 |
| 5-1 | 0.0339595 | -0.2374966 | 0.3054156 | 0.9999849 |
| 6-1 | -0.0367630 | -0.3301468 | 0.2566209 | 0.9999847 |
| 7-1 | 0.1337154 | -0.2139062 | 0.4813371 | 0.9561599 |
| 8-1 | 0.0432460 | -0.2718499 | 0.3583419 | 0.9999691 |
| 9-1 | 0.2557337 | 0.0066285 | 0.5048389 | 0.0390968 |
| 3-2 | 0.5903681 | 0.3273450 | 0.8533912 | 0.0000000 |
| 4-2 | -0.0082244 | -0.2551695 | 0.2387208 | 1.0000000 |
| 5-2 | 0.1086449 | -0.1477183 | 0.3650081 | 0.9242556 |
| 6-2 | 0.0379225 | -0.2415552 | 0.3174001 | 0.9999717 |
| 7-2 | 0.2084009 | -0.1275672 | 0.5443689 | 0.5895302 |
| 8-2 | 0.1179314 | -0.1842591 | 0.4201220 | 0.9523201 |
| 9-2 | 0.3304191 | 0.0978528 | 0.5629854 | 0.0004145 |
| 4-3 | -0.5985925 | -0.8884930 | -0.3086920 | 0.0000000 |
| 5-3 | -0.4817232 | -0.7796871 | -0.1837593 | 0.0000250 |
| 6-3 | -0.5524456 | -0.8705151 | -0.2343762 | 0.0000038 |
| 7-3 | -0.3819672 | -0.7506608 | -0.0132737 | 0.0357725 |
| 8-3 | -0.4724367 | -0.8106371 | -0.1342363 | 0.0005700 |
| 9-3 | -0.2599490 | -0.5377033 | 0.0178054 | 0.0872357 |
| 5-4 | 0.1168693 | -0.1670026 | 0.4007412 | 0.9354094 |
| 6-4 | 0.0461468 | -0.2587612 | 0.3510549 | 0.9999346 |
| 7-4 | 0.2166252 | -0.1407760 | 0.5740265 | 0.6203052 |
| 8-4 | 0.1261558 | -0.1996973 | 0.4520089 | 0.9544749 |
| 9-4 | 0.3386435 | 0.0760636 | 0.6012235 | 0.0022386 |
| 6-5 | -0.0707225 | -0.3833070 | 0.2418621 | 0.9986950 |
| 7-5 | 0.0997559 | -0.2642164 | 0.4637283 | 0.9949734 |
| 8-5 | 0.0092865 | -0.3237607 | 0.3423337 | 1.0000000 |
| 9-5 | 0.2217742 | -0.0496819 | 0.4932303 | 0.2122810 |
| 7-6 | 0.1704784 | -0.2101284 | 0.5510852 | 0.8983695 |
| 8-6 | 0.0800090 | -0.2711408 | 0.4311587 | 0.9986272 |
| 9-6 | 0.2924967 | -0.0008871 | 0.5858805 | 0.0513893 |
| 8-7 | -0.0904695 | -0.4880533 | 0.3071143 | 0.9986402 |
| 9-7 | 0.1220183 | -0.2256034 | 0.4696400 | 0.9747076 |
| 9-8 | 0.2124877 | -0.1026082 | 0.5275837 | 0.4720705 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3.60 | 7 | 0.51 | 4.24 | < .001 |
| Residuals | 44.41 | 366 | 0.12 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0297135 | -0.2187620 | 0.1593350 | 0.9997420 |
| 3-1 | 0.1760265 | -0.0497545 | 0.4018074 | 0.2559558 |
| 4-1 | -0.0935517 | -0.3069977 | 0.1198943 | 0.8844942 |
| 5-1 | 0.0317821 | -0.1888791 | 0.2524434 | 0.9998561 |
| 6-1 | 0.0220864 | -0.2163995 | 0.2605722 | 0.9999929 |
| 8-1 | 0.0608814 | -0.1687237 | 0.2904865 | 0.9926034 |
| 9-1 | 0.2095887 | 0.0088802 | 0.4102972 | 0.0335789 |
| 3-2 | 0.2057400 | -0.0080663 | 0.4195462 | 0.0689808 |
| 4-2 | -0.0638382 | -0.2645750 | 0.1368986 | 0.9784025 |
| 5-2 | 0.0614956 | -0.1468969 | 0.2698882 | 0.9859871 |
| 6-2 | 0.0517999 | -0.1753819 | 0.2789816 | 0.9970964 |
| 8-2 | 0.0905949 | -0.1272458 | 0.3084355 | 0.9101124 |
| 9-2 | 0.2393022 | 0.0521659 | 0.4264384 | 0.0028819 |
| 4-3 | -0.2695781 | -0.5052324 | -0.0339238 | 0.0126588 |
| 5-3 | -0.1442443 | -0.3864532 | 0.0979646 | 0.6099023 |
| 6-3 | -0.1539401 | -0.4124923 | 0.1046121 | 0.6102031 |
| 8-3 | -0.1151451 | -0.3655293 | 0.1352391 | 0.8560854 |
| 9-3 | 0.0335622 | -0.1906200 | 0.2577445 | 0.9998136 |
| 5-4 | 0.1253338 | -0.1054199 | 0.3560876 | 0.7156915 |
| 6-4 | 0.1156380 | -0.1322156 | 0.3634917 | 0.8465566 |
| 8-4 | 0.1544331 | -0.0848876 | 0.3937538 | 0.5055836 |
| 9-4 | 0.3031404 | 0.0913862 | 0.5148945 | 0.0004385 |
| 6-5 | -0.0096958 | -0.2637895 | 0.2443979 | 1.0000000 |
| 8-5 | 0.0290993 | -0.2166783 | 0.2748768 | 0.9999618 |
| 9-5 | 0.1778065 | -0.0412186 | 0.3968317 | 0.2095874 |
| 8-6 | 0.0387950 | -0.2231033 | 0.3006933 | 0.9998263 |
| 9-6 | 0.1875023 | -0.0494706 | 0.4244752 | 0.2385336 |
| 9-8 | 0.1487073 | -0.0793259 | 0.3767405 | 0.4913784 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3.34 | 7 | 0.48 | 5.10 | < .001 |
| Residuals | 33.83 | 362 | 0.09 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0230717 | -0.1889887 | 0.1428454 | 0.9998864 |
| 3-1 | 0.2152655 | 0.0171105 | 0.4134205 | 0.0225346 |
| 4-1 | -0.0748307 | -0.2621600 | 0.1124986 | 0.9263311 |
| 5-1 | 0.0802111 | -0.1134507 | 0.2738728 | 0.9118539 |
| 6-1 | -0.0084373 | -0.2177426 | 0.2008681 | 1.0000000 |
| 8-1 | 0.1808418 | -0.0206694 | 0.3823530 | 0.1152735 |
| 9-1 | 0.1314010 | -0.0479840 | 0.3107859 | 0.3343739 |
| 3-2 | 0.2383372 | 0.0506917 | 0.4259827 | 0.0031866 |
| 4-2 | -0.0517590 | -0.2279342 | 0.1244162 | 0.9863390 |
| 5-2 | 0.1032827 | -0.0796115 | 0.2861769 | 0.6731047 |
| 6-2 | 0.0146344 | -0.1847501 | 0.2140188 | 0.9999986 |
| 8-2 | 0.2039135 | 0.0127272 | 0.3950998 | 0.0272444 |
| 9-2 | 0.1544726 | -0.0132306 | 0.3221758 | 0.0961295 |
| 4-3 | -0.2900962 | -0.4969165 | -0.0832759 | 0.0006370 |
| 5-3 | -0.1350545 | -0.3476273 | 0.0775184 | 0.5263417 |
| 6-3 | -0.2237028 | -0.4506193 | 0.0032137 | 0.0565284 |
| 8-3 | -0.0344237 | -0.2541716 | 0.1853242 | 0.9997475 |
| 9-3 | -0.0838646 | -0.2835175 | 0.1157884 | 0.9056062 |
| 5-4 | 0.1550417 | -0.0474776 | 0.3575611 | 0.2780653 |
| 6-4 | 0.0663934 | -0.1511335 | 0.2839203 | 0.9829334 |
| 8-4 | 0.2556725 | 0.0456344 | 0.4657106 | 0.0057897 |
| 9-4 | 0.2062316 | 0.0173185 | 0.3951448 | 0.0213967 |
| 6-5 | -0.0886483 | -0.3116518 | 0.1343551 | 0.9281141 |
| 8-5 | 0.1006308 | -0.1150741 | 0.3163356 | 0.8465597 |
| 9-5 | 0.0511899 | -0.1440043 | 0.2463841 | 0.9930791 |
| 8-6 | 0.1892791 | -0.0405740 | 0.4191323 | 0.1942406 |
| 9-6 | 0.1398382 | -0.0708859 | 0.3505623 | 0.4676397 |
| 9-8 | -0.0494409 | -0.2524253 | 0.1535435 | 0.9956080 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3.46 | 7 | 0.49 | 6.41 | < .001 |
| Residuals | 27.62 | 358 | 0.08 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0401325 | -0.1106437 | 0.1909087 | 0.9924211 |
| 3-1 | 0.3042080 | 0.1194474 | 0.4889685 | 0.0000223 |
| 4-1 | 0.0287497 | -0.1414847 | 0.1989842 | 0.9995837 |
| 5-1 | 0.0624397 | -0.1135494 | 0.2384287 | 0.9603052 |
| 6-1 | -0.0331105 | -0.2253323 | 0.1591112 | 0.9995257 |
| 8-1 | 0.1128815 | -0.0686798 | 0.2944427 | 0.5548361 |
| 9-1 | 0.1987388 | 0.0349275 | 0.3625501 | 0.0060570 |
| 3-2 | 0.2640754 | 0.0886100 | 0.4395409 | 0.0001657 |
| 4-2 | -0.0113828 | -0.1714810 | 0.1487154 | 0.9999989 |
| 5-2 | 0.0223071 | -0.1438969 | 0.1885112 | 0.9999105 |
| 6-2 | -0.0732431 | -0.2565485 | 0.1100624 | 0.9262001 |
| 8-2 | 0.0727489 | -0.0993445 | 0.2448424 | 0.9026281 |
| 9-2 | 0.1586063 | 0.0053554 | 0.3118571 | 0.0365801 |
| 4-3 | -0.2754582 | -0.4679016 | -0.0830149 | 0.0004409 |
| 5-3 | -0.2417683 | -0.4393203 | -0.0442163 | 0.0053875 |
| 6-3 | -0.3373185 | -0.5494597 | -0.1251773 | 0.0000506 |
| 8-3 | -0.1913265 | -0.3938584 | 0.0112054 | 0.0796860 |
| 9-3 | -0.1054692 | -0.2922547 | 0.0813163 | 0.6731496 |
| 5-4 | 0.0336899 | -0.1503484 | 0.2177283 | 0.9992924 |
| 6-4 | -0.0618603 | -0.2614779 | 0.1377573 | 0.9813581 |
| 8-4 | 0.0841317 | -0.1052422 | 0.2735056 | 0.8769108 |
| 9-4 | 0.1699891 | -0.0024410 | 0.3424191 | 0.0565244 |
| 6-5 | -0.0955502 | -0.3000974 | 0.1089970 | 0.8456217 |
| 8-5 | 0.0504418 | -0.1441214 | 0.2450050 | 0.9935438 |
| 9-5 | 0.1362991 | -0.0418146 | 0.3144129 | 0.2785490 |
| 8-6 | 0.1459920 | -0.0633687 | 0.3553527 | 0.4001081 |
| 9-6 | 0.2318493 | 0.0376804 | 0.4260183 | 0.0074637 |
| 9-8 | 0.0858573 | -0.0977642 | 0.2694788 | 0.8449695 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3.15 | 7 | 0.45 | 5.44 | < .001 |
| Residuals | 28.29 | 342 | 0.08 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0224002 | -0.1785703 | 0.1337699 | 0.9998595 |
| 4-1 | -0.0191770 | -0.1955015 | 0.1571475 | 0.9999785 |
| 5-1 | 0.0210683 | -0.1612166 | 0.2033532 | 0.9999674 |
| 6-1 | -0.0368687 | -0.2359671 | 0.1622296 | 0.9992349 |
| 7-1 | 0.2624926 | 0.0190701 | 0.5059150 | 0.0243649 |
| 8-1 | 0.1630569 | -0.0249996 | 0.3511134 | 0.1439238 |
| 9-1 | 0.1819526 | 0.0131058 | 0.3507994 | 0.0245344 |
| 4-2 | 0.0032232 | -0.1626024 | 0.1690488 | 1.0000000 |
| 5-2 | 0.0434685 | -0.1286814 | 0.2156184 | 0.9944951 |
| 6-2 | -0.0144685 | -0.2043315 | 0.1753945 | 0.9999981 |
| 7-2 | 0.2848928 | 0.0489642 | 0.5208214 | 0.0064598 |
| 8-2 | 0.1854571 | 0.0072072 | 0.3637071 | 0.0347949 |
| 9-2 | 0.2043528 | 0.0465014 | 0.3622041 | 0.0024069 |
| 5-4 | 0.0402453 | -0.1503769 | 0.2308675 | 0.9982124 |
| 6-4 | -0.0176917 | -0.2244505 | 0.1890671 | 0.9999959 |
| 7-4 | 0.2816696 | 0.0319427 | 0.5313965 | 0.0149399 |
| 8-4 | 0.1822339 | -0.0139147 | 0.3783825 | 0.0902603 |
| 9-4 | 0.2011296 | 0.0233143 | 0.3789449 | 0.0144620 |
| 6-5 | -0.0579370 | -0.2698017 | 0.1539277 | 0.9910559 |
| 7-5 | 0.2414243 | -0.0125462 | 0.4953947 | 0.0759152 |
| 8-5 | 0.1419886 | -0.0595349 | 0.3435122 | 0.3858435 |
| 9-5 | 0.1608843 | -0.0228430 | 0.3446116 | 0.1352844 |
| 7-6 | 0.2993613 | 0.0330656 | 0.5656569 | 0.0155157 |
| 8-6 | 0.1999256 | -0.0169248 | 0.4167761 | 0.0954494 |
| 9-6 | 0.2188213 | 0.0184015 | 0.4192411 | 0.0213866 |
| 8-7 | -0.0994356 | -0.3575799 | 0.1587086 | 0.9386295 |
| 9-7 | -0.0805400 | -0.3250445 | 0.1639645 | 0.9735717 |
| 9-8 | 0.0188957 | -0.1705593 | 0.2083506 | 0.9999881 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.23 | 5 | 0.45 | 7.45 | < .001 |
| Residuals | 16.38 | 274 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0125851 | -0.1123287 | 0.1374989 | 0.9997263 |
| 4-1 | 0.0826406 | -0.0583939 | 0.2236750 | 0.5450757 |
| 5-1 | 0.0491226 | -0.0966793 | 0.1949245 | 0.9279838 |
| 6-1 | 0.0579639 | -0.1012864 | 0.2172142 | 0.9023389 |
| 8-1 | 0.2864402 | 0.1360219 | 0.4368586 | 0.0000015 |
| 4-2 | 0.0700554 | -0.0625814 | 0.2026922 | 0.6543591 |
| 5-2 | 0.0365375 | -0.1011578 | 0.1742329 | 0.9736225 |
| 6-2 | 0.0453788 | -0.1064845 | 0.1972421 | 0.9560655 |
| 8-2 | 0.2738551 | 0.1312806 | 0.4164296 | 0.0000012 |
| 5-4 | -0.0335179 | -0.1859885 | 0.1189526 | 0.9886329 |
| 6-4 | -0.0246767 | -0.1900542 | 0.1407009 | 0.9981557 |
| 8-4 | 0.2037997 | 0.0469088 | 0.3606906 | 0.0031764 |
| 6-5 | 0.0088413 | -0.1606203 | 0.1783028 | 0.9999895 |
| 8-5 | 0.2373176 | 0.0761275 | 0.3985077 | 0.0004625 |
| 8-6 | 0.2284763 | 0.0550269 | 0.4019257 | 0.0026206 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.01 | 4 | 0.25 | 4.24 | 0.002 |
| Residuals | 14.56 | 245 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0301881 | -0.0890891 | 0.1494654 | 0.9573153 |
| 4-1 | 0.0690910 | -0.0655795 | 0.2037614 | 0.6218616 |
| 5-1 | 0.0792649 | -0.0599580 | 0.2184877 | 0.5215465 |
| 8-1 | 0.2022579 | 0.0586270 | 0.3458889 | 0.0013068 |
| 4-2 | 0.0389028 | -0.0877490 | 0.1655546 | 0.9164937 |
| 5-2 | 0.0490767 | -0.0824054 | 0.1805588 | 0.8432751 |
| 8-2 | 0.1720698 | 0.0359287 | 0.3082109 | 0.0054463 |
| 5-4 | 0.0101739 | -0.1354167 | 0.1557644 | 0.9996947 |
| 8-4 | 0.1331669 | -0.0166445 | 0.2829784 | 0.1075595 |
| 8-5 | 0.1229931 | -0.0309235 | 0.2769097 | 0.1846365 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.53 | 4 | 0.13 | 2.11 | 0.080 |
| Residuals | 15.34 | 245 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0381984 | -0.0842157 | 0.1606125 | 0.9119637 |
| 4-1 | 0.0940212 | -0.0441910 | 0.2322333 | 0.3366096 |
| 5-1 | 0.0971867 | -0.0456976 | 0.2400709 | 0.3367443 |
| 8-1 | 0.1326446 | -0.0147637 | 0.2800529 | 0.1002100 |
| 4-2 | 0.0558227 | -0.0741599 | 0.1858053 | 0.7627018 |
| 5-2 | 0.0589883 | -0.0759517 | 0.1939282 | 0.7506124 |
| 8-2 | 0.0944462 | -0.0452753 | 0.2341676 | 0.3431487 |
| 5-4 | 0.0031655 | -0.1462539 | 0.1525849 | 0.9999974 |
| 8-4 | 0.0386234 | -0.1151279 | 0.1923748 | 0.9584369 |
| 8-5 | 0.0354579 | -0.1225065 | 0.1934224 | 0.9723104 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.81 | 5 | 0.36 | 5.70 | < .001 |
| Residuals | 16.29 | 257 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0370334 | -0.0916800 | 0.1657468 | 0.9624842 |
| 4-1 | 0.1076629 | -0.0376615 | 0.2529872 | 0.2765917 |
| 5-1 | 0.0688905 | -0.0813463 | 0.2191274 | 0.7756455 |
| 7-1 | 0.3413801 | 0.1184199 | 0.5643404 | 0.0002318 |
| 8-1 | 0.1843335 | 0.0293398 | 0.3393272 | 0.0095627 |
| 4-2 | 0.0706295 | -0.0660418 | 0.2073008 | 0.6749114 |
| 5-2 | 0.0318571 | -0.1100266 | 0.1737409 | 0.9874492 |
| 7-2 | 0.3043467 | 0.0869274 | 0.5217660 | 0.0010724 |
| 8-2 | 0.1473001 | 0.0003888 | 0.2942114 | 0.0489657 |
| 5-4 | -0.0387723 | -0.1958806 | 0.1183360 | 0.9807967 |
| 7-4 | 0.2337173 | 0.0060702 | 0.4613643 | 0.0403831 |
| 8-4 | 0.0766706 | -0.0849925 | 0.2383337 | 0.7497897 |
| 7-5 | 0.2724896 | 0.0416755 | 0.5033036 | 0.0103921 |
| 8-5 | 0.1154429 | -0.0506502 | 0.2815360 | 0.3475982 |
| 8-7 | -0.1570467 | -0.3909848 | 0.0768915 | 0.3877038 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.99 | 4 | 0.25 | 5.06 | < .001 |
| Residuals | 11.98 | 245 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0294628 | -0.0787197 | 0.1376453 | 0.9447243 |
| 4-1 | 0.0950264 | -0.0271174 | 0.2171703 | 0.2074139 |
| 5-1 | 0.0120160 | -0.1142568 | 0.1382888 | 0.9989657 |
| 8-1 | 0.1871020 | 0.0568312 | 0.3173729 | 0.0009737 |
| 4-2 | 0.0655636 | -0.0493074 | 0.1804347 | 0.5190274 |
| 5-2 | -0.0174468 | -0.1366989 | 0.1018053 | 0.9944687 |
| 8-2 | 0.1576392 | 0.0341615 | 0.2811169 | 0.0048288 |
| 5-4 | -0.0830104 | -0.2150586 | 0.0490378 | 0.4189383 |
| 8-4 | 0.0920756 | -0.0438009 | 0.2279521 | 0.3405878 |
| 8-5 | 0.1750860 | 0.0354862 | 0.3146858 | 0.0059642 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.21 | 4 | 0.30 | 5.81 | < .001 |
| Residuals | 12.80 | 245 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0267661 | -0.0850764 | 0.1386086 | 0.9650667 |
| 4-1 | 0.0932446 | -0.0330316 | 0.2195208 | 0.2551072 |
| 5-1 | -0.0038074 | -0.1343522 | 0.1267374 | 0.9999906 |
| 8-1 | 0.2027312 | 0.0680530 | 0.3374094 | 0.0004621 |
| 4-2 | 0.0664785 | -0.0522789 | 0.1852359 | 0.5385348 |
| 5-2 | -0.0305735 | -0.1538601 | 0.0927131 | 0.9603078 |
| 8-2 | 0.1759651 | 0.0483099 | 0.3036202 | 0.0017743 |
| 5-4 | -0.0970520 | -0.2335676 | 0.0394636 | 0.2920134 |
| 8-4 | 0.1094866 | -0.0309869 | 0.2499600 | 0.2058193 |
| 8-5 | 0.2065386 | 0.0622159 | 0.3508613 | 0.0010283 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.89 | 4 | 0.22 | 4.41 | 0.002 |
| Residuals | 12.40 | 245 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0321875 | -0.0778866 | 0.1422616 | 0.9293241 |
| 4-1 | 0.1009875 | -0.0232921 | 0.2252671 | 0.1710322 |
| 5-1 | 0.0474709 | -0.0810098 | 0.1759516 | 0.8481297 |
| 8-1 | 0.1843869 | 0.0518382 | 0.3169357 | 0.0015590 |
| 4-2 | 0.0688000 | -0.0480797 | 0.1856796 | 0.4875017 |
| 5-2 | 0.0152834 | -0.1060538 | 0.1366206 | 0.9969008 |
| 8-2 | 0.1521994 | 0.0265627 | 0.2778362 | 0.0088273 |
| 5-4 | -0.0535165 | -0.1878737 | 0.0808406 | 0.8092031 |
| 8-4 | 0.0833995 | -0.0548528 | 0.2216518 | 0.4621021 |
| 8-5 | 0.1369160 | -0.0051247 | 0.2789568 | 0.0648619 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.61 | 4 | 0.40 | 7.53 | < .001 |
| Residuals | 13.05 | 244 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0704788 | -0.0426551 | 0.1836126 | 0.4284220 |
| 4-1 | 0.1350524 | 0.0073182 | 0.2627867 | 0.0323567 |
| 5-1 | 0.0018939 | -0.1301582 | 0.1339461 | 0.9999994 |
| 8-1 | 0.2378244 | 0.1004200 | 0.3752289 | 0.0000330 |
| 4-2 | 0.0645737 | -0.0555549 | 0.1847023 | 0.5782204 |
| 5-2 | -0.0685848 | -0.1932949 | 0.0561253 | 0.5560432 |
| 8-2 | 0.1673457 | 0.0369815 | 0.2977099 | 0.0045184 |
| 5-4 | -0.1331585 | -0.2712504 | 0.0049334 | 0.0646988 |
| 8-4 | 0.1027720 | -0.0404467 | 0.2459907 | 0.2827725 |
| 8-5 | 0.2359305 | 0.0888478 | 0.3830132 | 0.0001512 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.05 | 4 | 0.26 | 5.05 | < .001 |
| Residuals | 12.77 | 245 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0743556 | -0.0373484 | 0.1860596 | 0.3590665 |
| 4-1 | 0.1185116 | -0.0076082 | 0.2446315 | 0.0767841 |
| 5-1 | 0.0256495 | -0.1047337 | 0.1560326 | 0.9829853 |
| 8-1 | 0.1998101 | 0.0652986 | 0.3343215 | 0.0005743 |
| 4-2 | 0.0441561 | -0.0744542 | 0.1627664 | 0.8445406 |
| 5-2 | -0.0487061 | -0.1718400 | 0.0744278 | 0.8131128 |
| 8-2 | 0.1254545 | -0.0020426 | 0.2529516 | 0.0562001 |
| 5-4 | -0.0928622 | -0.2292088 | 0.0434844 | 0.3353906 |
| 8-4 | 0.0812984 | -0.0590011 | 0.2215979 | 0.5036312 |
| 8-5 | 0.1741606 | 0.0300166 | 0.3183046 | 0.0090839 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 3.67 | 3 | 1.22 | 13.96 | < .001 |
| Residuals | 17.54 | 200 | 0.09 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0463792 | -0.0902151 | 0.1829734 | 0.8154064 |
| 5-1 | 0.0592179 | -0.1002176 | 0.2186534 | 0.7710052 |
| 8-1 | 0.3853322 | 0.2194344 | 0.5512299 | 0.0000000 |
| 5-2 | 0.0128387 | -0.1377322 | 0.1634097 | 0.9961849 |
| 8-2 | 0.3389530 | 0.1815554 | 0.4963506 | 0.0000005 |
| 8-5 | 0.3261143 | 0.1485313 | 0.5036972 | 0.0000221 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.28 | 3 | 0.43 | 8.02 | < .001 |
| Residuals | 10.62 | 199 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0107738 | -0.1173317 | 0.0957842 | 0.9936859 |
| 5-1 | -0.0318647 | -0.1562413 | 0.0925119 | 0.9105598 |
| 8-1 | 0.1987025 | 0.0681268 | 0.3292782 | 0.0006412 |
| 5-2 | -0.0210909 | -0.1385522 | 0.0963703 | 0.9665471 |
| 8-2 | 0.2094762 | 0.0854697 | 0.3334828 | 0.0001139 |
| 8-5 | 0.2305672 | 0.0909514 | 0.3701830 | 0.0001703 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.49 | 3 | 0.16 | 1.19 | 0.315 |
| Residuals | 27.82 | 201 | 0.14 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | -0.0088091 | -0.1803826 | 0.1627645 | 0.9991573 |
| 5-1 | -0.0110215 | -0.2112856 | 0.1892426 | 0.9989632 |
| 8-1 | 0.1221026 | -0.0845024 | 0.3287076 | 0.4208793 |
| 5-2 | -0.0022124 | -0.1913419 | 0.1869171 | 0.9999900 |
| 8-2 | 0.1309117 | -0.0649196 | 0.3267429 | 0.3099365 |
| 8-5 | 0.1331241 | -0.0882762 | 0.3545244 | 0.4052391 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.83 | 2 | 0.91 | 15.40 | < .001 |
| Residuals | 9.55 | 161 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1018006 | -0.0007470 | 0.2043482 | 0.0521598 |
| 8-1 | 0.2917718 | 0.1672246 | 0.4163189 | 0.0000004 |
| 8-2 | 0.1899711 | 0.0718055 | 0.3081367 | 0.0005908 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.51 | 2 | 0.76 | 11.49 | < .001 |
| Residuals | 10.46 | 159 | 0.07 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0603122 | -0.0477256 | 0.1683500 | 0.3857652 |
| 8-1 | 0.2652194 | 0.1315964 | 0.3988423 | 0.0000169 |
| 8-2 | 0.2049072 | 0.0778799 | 0.3319345 | 0.0005650 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.13 | 2 | 0.57 | 9.38 | < .001 |
| Residuals | 9.59 | 159 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0118620 | -0.0915551 | 0.1152792 | 0.9602294 |
| 8-1 | 0.2138422 | 0.0859342 | 0.3417503 | 0.0003366 |
| 8-2 | 0.2019802 | 0.0803857 | 0.3235747 | 0.0003704 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.24 | 2 | 0.62 | 12.35 | < .001 |
| Residuals | 7.99 | 159 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0774245 | -0.0170154 | 0.1718643 | 0.1310160 |
| 8-1 | 0.2445609 | 0.1277561 | 0.3613657 | 0.0000055 |
| 8-2 | 0.1671364 | 0.0560971 | 0.2781758 | 0.0014087 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.25 | 2 | 0.63 | 9.81 | < .001 |
| Residuals | 10.15 | 159 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0334467 | -0.0729898 | 0.1398831 | 0.7380133 |
| 8-1 | 0.2344008 | 0.1027585 | 0.3660432 | 0.0001244 |
| 8-2 | 0.2009542 | 0.0758097 | 0.3260986 | 0.0006021 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.23 | 2 | 0.62 | 13.72 | < .001 |
| Residuals | 7.14 | 159 | 0.04 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0791902 | -0.0100476 | 0.1684280 | 0.0931648 |
| 8-1 | 0.2438177 | 0.1334469 | 0.3541885 | 0.0000016 |
| 8-2 | 0.1646275 | 0.0597046 | 0.2695504 | 0.0008254 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.35 | 2 | 0.67 | 12.39 | < .001 |
| Residuals | 8.66 | 159 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0938740 | -0.0044165 | 0.1921644 | 0.0646129 |
| 8-1 | 0.2557312 | 0.1341639 | 0.3772984 | 0.0000050 |
| 8-2 | 0.1618572 | 0.0462905 | 0.2774239 | 0.0032555 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.21 | 2 | 0.60 | 13.26 | < .001 |
| Residuals | 7.25 | 159 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1168061 | 0.0268933 | 0.2067188 | 0.0069946 |
| 8-1 | 0.2390735 | 0.1278679 | 0.3502791 | 0.0000030 |
| 8-2 | 0.1222675 | 0.0165510 | 0.2279840 | 0.0188720 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.24 | 2 | 0.62 | 12.05 | < .001 |
| Residuals | 8.18 | 159 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0910687 | -0.0044933 | 0.1866308 | 0.0653701 |
| 8-1 | 0.2451968 | 0.1270040 | 0.3633896 | 0.0000067 |
| 8-2 | 0.1541281 | 0.0417693 | 0.2664868 | 0.0040645 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.18 | 2 | 0.59 | 10.23 | < .001 |
| Residuals | 9.18 | 159 | 0.06 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0972197 | -0.0039996 | 0.1984391 | 0.0626807 |
| 8-1 | 0.2390992 | 0.1139095 | 0.3642890 | 0.0000359 |
| 8-2 | 0.1418795 | 0.0228691 | 0.2608899 | 0.0148649 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.91 | 2 | 0.45 | 6.20 | 0.003 |
| Residuals | 11.62 | 159 | 0.07 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.0991883 | -0.0146736 | 0.2130501 | 0.1013685 |
| 8-1 | 0.2074630 | 0.0666367 | 0.3482892 | 0.0018296 |
| 8-2 | 0.1082747 | -0.0256003 | 0.2421498 | 0.1382025 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 0.70 | 2 | 0.35 | 6.55 | 0.002 |
| Residuals | 8.44 | 158 | 0.05 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1109694 | 0.0133113 | 0.2086274 | 0.0215593 |
| 8-1 | 0.1726119 | 0.0521780 | 0.2930458 | 0.0025206 |
| 8-2 | 0.0616425 | -0.0530883 | 0.1763734 | 0.4135427 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.97 | 2 | 0.98 | 14.61 | < .001 |
| Residuals | 10.65 | 158 | 0.07 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1868757 | 0.0772095 | 0.2965418 | 0.0002523 |
| 8-1 | 0.2890028 | 0.1537603 | 0.4242454 | 0.0000035 |
| 8-2 | 0.1021271 | -0.0267111 | 0.2309654 | 0.1491873 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.89 | 2 | 0.95 | 12.28 | < .001 |
| Residuals | 12.10 | 157 | 0.08 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1592373 | 0.0419567 | 0.2765179 | 0.0045259 |
| 8-1 | 0.2978010 | 0.1517626 | 0.4438395 | 0.0000098 |
| 8-2 | 0.1385637 | -0.0006949 | 0.2778224 | 0.0514706 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.29 | 2 | 1.14 | 16.11 | < .001 |
| Residuals | 11.07 | 156 | 0.07 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 2-1 | 0.1740027 | 0.0605118 | 0.2874936 | 0.0011201 |
| 8-1 | 0.3268445 | 0.1875465 | 0.4661424 | 0.0000004 |
| 8-2 | 0.1528418 | 0.0203129 | 0.2853706 | 0.0192950 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.22 | 1 | 2.22 | 26.73 | < .001 |
| Residuals | 6.98 | 84 | 0.08 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3303645 | 0.2032909 | 0.4574382 | 1.6e-06 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.64 | 1 | 2.64 | 26.55 | < .001 |
| Residuals | 8.25 | 83 | 0.10 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3614293 | 0.2219095 | 0.5009491 | 1.7e-06 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.76 | 1 | 2.76 | 21.98 | < .001 |
| Residuals | 10.17 | 81 | 0.13 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3746446 | 0.2156293 | 0.53366 | 1.1e-05 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 2.53 | 1 | 2.53 | 21.96 | < .001 |
| Residuals | 9.09 | 79 | 0.12 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3633933 | 0.2090524 | 0.5177342 | 1.14e-05 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.90 | 1 | 1.90 | 16.80 | < .001 |
| Residuals | 7.13 | 63 | 0.11 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3420326 | 0.1752971 | 0.5087681 | 0.0001208 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.63 | 1 | 1.63 | 14.11 | < .001 |
| Residuals | 6.94 | 60 | 0.12 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.324597 | 0.1517682 | 0.4974258 | 0.0003915 |
NULL
| Model Summary | |||||
|---|---|---|---|---|---|
| Parameter | Sum_Squares | df | Mean_Square | F | p |
| datasetcode | 1.66 | 1 | 1.66 | 16.60 | < .001 |
| Residuals | 5.58 | 56 | 0.10 | ||
| Anova Table (Type 1 tests) | |||||
The ANOVA (formula: i ~ datasetcode) suggests that:
| Contrast | Difference | Lower CI | Upper CI | P-value |
|---|---|---|---|---|
| 8-1 | 0.3386913 | 0.1721746 | 0.505208 | 0.0001468 |
NULL